Mnist cnnpekerjaan

...currently using TensorFlow for my machine learning model. I believe the model can be significantly improved by implementing a different algorithm. In particular, I'd like to enhance the model using "Deforming CNN". Key Points: - Current ML framework: TensorFlow - Requirement for improvement: Implementing a different algorithm - Desired algorithm: Deforming CNN Ideal skills for this project: - Proficiency in TensorFlow - Understanding of Convolutional Neural Networks (CNN) - Experience with implementing and optimizing ML algorithms - Google Colab Your task would be to integrate the Deforming CNN algorithm into the existing model, troubleshoot any issues, and ensure it enhances the model's accuracy. The goal is to significantly improve th...

I'm searching for a Python developer knowledgeable in numerical data analysis. The key task of this project will be developing a Python script for classifying images. This script will then need to perform advanced data visualization tasks on numeric data. Task would be to analyze a dataset containing different types of fish breeds Images and is required to classify them using CNN based on their location and chemical compositions in various parts of an ocean/location Ideal Skills: - Excellent grasp of Python programming - Strong understanding of image classification techniques - Proficiency in numerical data analysis - Expertise in data visualization methodologies Previous experience with projects involving Python, image classification and data visualization is highly pre...

I'm seeking a skilled machine learning expert who can train a Convolutional Neural Network (CNN) for object detection, specifically tennis balls. I have my own dataset. This dataset is poor so I will need a skilled expert. I need detections on at least 50% of the frames. Key Responsibilities: - Train the CNN model on object (tennis ball) detection - Fine-tune the model for higher accuracy - Provide the trained CNN Model's code and implementation details

I'm looking for a seasoned Deep Learning programmer who can turn my existing CNN-based breast cancer detection code to include the VGG16 model. This will involve: - Complete refactoring of the code. - Implementation in Python using both TensorFlow and Keras. - Creating detailed comments to provide robust explanation and understanding of the code. Max Budget--> 2500 Min Requirement --> An equivalent implementation using any of VGG16 or VGG19. Link of the Project : The ideal candidate for this job would possess extensive experience in Neural Networks especially in VGG models, Python, TensorFlow, and Keras. Understanding of breast cancer detection methods would also be beneficial. I'm seeking a professional

I need support in cleaning and organizing a dataset. - You should be proficient in Python. - Experience with data cleaning and manipulation. - Familiarity with data analysis would be an added advantage. Part A: Advanced Data...Compute Pearson's correlation coefficient for all attributes, save as corr_matrix. Sort and display correlation of all attributes with 'number_of_reviews'. Visualize with Seaborn's heatmap for corr_matrix and pandas' scatter_matrix for 'number_of_reviews', 'reviews_per_month', 'availability_365'. Part B: PCA with MNIST Dataset Discuss motivations and drawbacks of reducing dimensionality, including the curse of dimensionality. Explain if and how you can reverse PCA. Apply PCA on MNIST with a 95% e...

So we are looking for an app developer who can do a project on infant child m...things data’s will be feeded from sensors controlled by esp32 module) Using yoso algorithm for speech detection, voices of mother, father and the caretaker voices are pre recorded. (So this project is basically abt babies in incubator…so in a room many babies will be there) so any other voices come other than those 3 it should show a stranger algorithm. Optional: Camera will be fixed and using cnn baby faces will be recorded… then in app it should status of baby.. if its crying , sleeping or laughing eg : notification in app will be baby is smiling. Therefore, past experience with this functionality, though appreciated, is not necessary for this project. The budget allocated for...

I need a Python-based machine learning program that can predict stock prices based solely on historical stock prices. Key Features: - Utilizes Historical Stock Prices: The program should be trained on historical stock price data. - Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days. - Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation. - Interactive: It should have interactive charts and graphs to better visualize the data. I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings. Ideal Skills: - Strong understanding of machine learnin...

...with specific experience in Convolutional Neural Networks. The primary goal of this project is to bolster our search engine ranking through effective link building. To achieve this, I need you to develop and implement a CNN model. The model will be trained on textual data from websites, which I have available for this purpose. Your responsibilities will include: - Developing an effective CNN model - Training the model with the available textual data - Implementing the model for link building Ideal candidate should have: - Proven experience in deep learning, specifically with CNN - Previous success in link building through machine learning - Proficiency in Python and relevant deep learning libraries - Ability to work independently and meet deadlines please don,t ...

use one of the following to get high accuracy: - Convolutional Neural Network (CNN) - Radial Basis Function Network (RBF) - Extreme Learning Machine (ELM) - Support Vector Machine (SVM) - Transformer using SUN397 dataset

...mother, father, and nurse. - Alert system to indicate if any other voices are detected within a 25-meter radius of the incubator. - Live Camera Feed: - Ensure continuous live streaming of the camera fixed inside the incubator, providing CCTV monitoring. - Ensure the camera feed is accessible at all times through the app. Optional Features: - *Baby Facial Expression Indicator:* - Utilize CNN (Convolutional Neural Network) for detecting baby facial expressions. - Indicate if the baby is crying, smiling, or sleeping through the app interface. - User Interface: - Design an intuitive and user-friendly interface for easy navigation and interaction. - Ensure compatibility with various screen sizes and resolutions for both mobile and tablet devices. - Reliability and Pe...

I'm currently seeking an expert in deep learning and TensorFlow, specifically skilled in the construction and fine-tuning of Convolutional Neural Network (CNN) models. I need help with offline image classification and object detection tasks. Key requirements: - Proficiency in Deep Learning and TensorFlow. - Expertise in Convolutional Neural Networks (CNN) - Experience with image classification and object detection tasks. - Capability to work on an offline model. Candidates with prior experience in similar tasks will be given preference. Accuracy and efficiency of the created model are paramount. The project involves the development of a deep learning model for medical image classification, particularly focusing on chest X-ray images. The model architecture ...

I am in need of a knowledgeable Python developer to work on a project involving ticket verification using face recognition. This is a grad project. Yo...recognizes the face that appears when the camera is turned on or not, and whether the person's name and ticket are available are displayed above the face on the screen to be printed. .The ideal candidate should possess: - Proficiency in Python. - Solid experience in working with face recognition technology. - Familiarity with Deep Learning Models, more specifically Convolutional Neural Networks (CNN), as this is the model I'd like to base the facial recognition feature on. Please note, I have already collected the necessary data to be used for the face recognition feature. Contact me if your skills and experience match...

I am looking for a professional who can build a speech recognition system for me. I haven't collected a dataset yet, so I need you to take care of this for me. Ideal Skills and Experience: - Experience with building speech recognition systems - Strong understanding of Mel Frequency Cepstral Coefficients - Proficient in Convolutional Neural Networks - Ability to work under tight deadlines Please keep in mind my need for this project to be completed as soon as possible.

More details: Have you already trained a model for the CNN self-driving car using Udacity's simulator? Yes What is the main issue you're encountering with the model? The car does not start How have you been validating the performance of the model? validated the model's performance by monitoring its accuracy metric. I am currently working on a project that involves building and refining a Convolution Neural Network (CNN) model for a self-driving car. This project demonstrate basic self driving car model using udacity car driving simulator. In this project I built a Convolution Neural Network model to predict the steering angle for a virtual car in the simulator running at a constant speed. Despite successful model configuration and established bidirectional c...

I'm currently seeking a deep learning expert, capable of developing a Convolutional Neural Network (CNN)-based model for my project. The unique challenge lies in the identification and comparison of house facades, with a special focus on windows, doors, and the general architectural style. Objectives: - Use the given data to train a deep learning model able to recognize features and architectural styles with a minimum of 80% similarity. - Identify notable window shapes and types across different house facades. - Recognize distinguishing features and architectural styles. Approach: With the use of machine learning algorithms, the model should be able to identify personal preferences in facade similarities. These results aim to reflect personal tastes in architectural aesthe...

...intricate Convolutional Neural Network (CNN) model specifically tailored for Arabic sign language detection from video to text translation. We already have a video dataset available and the codes need to be presented in .ipynb files. Testing accuracy of over 90% is expected. Your task involves: - Enhancing an existing model to develop an advanced (10+ layers) CNN model, proficient in handling Arabic sign language detection. - Exploiting the Integrated Mediapipe framework for continuous, full sentence video processing. - Ensuring the system is able to transcribe videos into text efficiently and accurately. - Documenting all code clearly and thoroughly throughout the project. Ideal Skills and Experience: - In-depth knowledge and experience with CNN models and In...

I am in need of a proficient and skilled AI deep learning specialist who can write a project-specific Convolutional Neural Network (CNN) using Python. This final project deals with the processing and analysis of matrix data using a specifically designed neural network. Ideal Skills and Experience: - Extensive Python coding experience - Proven background in AI and deep learning - Strong understanding of CNNs, specifically for matrix data analysis - Experience working with square matrices Project specifics: - The neural network is to be developed and written in Python. - It will involve the processing of matrix data, specifically square matrices. - Only freelancers with a deep understanding of matrix structure should apply. This project requires a highly technical individual w...

For this project, I require a freelancer with explicit skills in Python and predictive modeling like CNN UNET,SVM,RESNET, specifically Semantic Segmentation. The primary goal is to harness AI in understanding images and mining useful insights therefrom. Using GOOGLE Colab is best for me I have code for Model i will give and i have some augmentation codes that work with colab Here's a step-by-step plan to accomplish your project:(Google Colab is Best for me) Dataset: Split your dataset into training, testing, and validation sets with ratios of 0.6, 0.2, and 0.2 respectively. You can use libraries like scikit-learn to achieve this. Augmentation: Apply various augmentation techniques to create separate augmented datasets. These techniques include: Rotation Contrast adjust...

The model has been developed and the dataset is ready. You only need your help to complete the training of the model. There are 6 datasets, and the $100 deposit is only needed. You only need to complete the training of one dataset to achieve the required inference accuracy, which has been tested and verified. We can officially accept this project and then discuss the prices for all the projects.

I NEED EXPERT ON CNN and ANN FOR MACHINE LEARNING ON PREDICTION FOR A BETTING SITE

I'm looking for a freelancer who can implement four separate deep learning models for deepfake image detection. The desired models are: - CNN - Vgg16 - Resnet50 - A fourth model of your recommendation Three datasets will be used for training and validation. I prefer the usage of FaceForensics++, CelebDF, DFDC, but I am open to other high-quality image datasets. The analysis of these models should include: - Accuracy evaluation - False positive and false negative analysis - Comprehensive comparison of model performance The freelancer has the freedom to prioritize the implementation of these models as they see fit. I am open to suggestions on the pros and cons of each model, and how they could serve my project best. In your proposal, I am particularly interested in a detailed...

...processing system tailored to my distinct specifications. Key features must incorporate Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) with 3 hidden layers. Ideal candidates will have a robust comprehension of signal processing, 1D/2D Mel Frequency Cepstral Coefficients (MFCC), and be adept at coding in either MATLAB or Python languages. This software must be designed to successfully identify isolated words ranging from one to ten. Key Skills & Experience: • MATLAB or Python programming • Proficient with ANN & CNN • Expert in Signal Processing • Knowledge of MFCC • Ability to implement 3 hidden layers in CNN I welcome professionals who are enthused about developing cutting-edge signal processing systems...

I'm seeking a skilled developer to create an efficient chatbot using the project platform. This chatbot will mainly handle three key functions: answer customer queries, provide health insurance quotes, and direct clients to the appropriate department. Essentially, this bot will act as a Virtual Customer Support, addressing users' needs accurately and promptly. The interface should encaps...addressing users' needs accurately and promptly. The interface should encapsulate a friendly and approachable feel, ensuring user comfort while enhancing communication. Ideal freelancers for this project should have significant experience in chatbot development, knowledge of health insurance, and excellent UI design skills to meet the design specifications. Programming: Learning 3. ...

I'm in need of a proficient speech recognition developer with expertise in artificial neural networks (ANN) and convolutional neural networks (CNN) to build a system able to recognize isolated words. The system needs to process spoken numbers one to ten. Proficiency in MATLAB or Python is key to succeeding in this task. Key requirements are: - Proficiency in either MATLAB or Python, as you'll be writing the code in one of these languages. - Experience with 1D or 2D Mel Frequency Cepstral Coefficients (MFCC) signal processing methods. You'll be managing input features with either of these methods. - Understanding of ANN and CNN for network implementation. - To create a system capable of recognizing isolated words, specifically the numbers one through to t...

...counting, which will be a substantial addition to your professional development portfolio. Simple Theory SSD detector We are using a SSD Single Shot Detector with a MobileNet architecture. In general, it only takes a single shot to detect whatever is in an image. That is, one for generating region proposals, one for detecting the object of each proposal. Compared to other two shot detectors like R-CNN, SSD is quite fast. MobileNet, as the name implies, is a DNN designed to run on resource constrained devices. For e.g., mobiles, ip cameras, scanners etc. Thus, SSD seasoned with a MobileNet should theoretically result in a faster, more efficient object detector. Centroid tracker Centroid tracker is one of the most reliable trackers out there. To be straightforward, the centroid tr...

...exciting project, I’m searching for an expert in deep learning and mobile app development. The primary purpose of this venture is to develop a highly intuitive and interactive mobile application that uses CNN, MobileNet, and VGG architectures for melanoma detection. Key Deliverables: • Design and implementation of a robust and efficient deep learning model, capable of increasing the accuracy of melanoma detection. • The model should be built on platforms like Keras, PyTorch, and TensorFlow. Skills and Experience: • Extensive experience with deep learning and neural networks, particularly with CNN, MobileNet, and VGG. • Proficient in using Keras, TensorFlow, and PyTorch. • Proven track record in mobile application development, preferabl...

I'm in need of an experienced Python developer to build an ultra-fast Convolutional Neural Network (CNN) model for a tabular dataset. The primary purpose of this model will be classification for a big dataset( 500MB) The output of the classification will be in 3 stages classification : - binary - 8 classes - 48 classes Key deliverables: - A highly efficient and fast CNN model - Clear documentation of the code and steps involved in the development process. - The dataset classification needs alot of balancing Preferred Experience and Skills: - Strong expertise in Python programming - Proven experience in CNN model development for data classification - Familiarity with Keras, TensorFlow, or PyTorch is a plus, although it's not mandatory since I haven&#...

Please check project proposal and accept it

I am seeking a skilled professional to develop a speech recognition system using deep learning with an emphasis on DSP projects. Requirements: - Strong understanding of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) - Proficiency in Python programming language - Expertise in digital signal processing, specifically Mel Frequency Cepstral Coefficients (MFCC). Both 1D and 2D extraction are acceptable. - Develop a system capable of recognizing 10 isolated words (one to ten) Ideal freelancer will have extensive experience in machine learning, deep learning and signal processing. Prior work with speech recognition systems will be a great advantage. Efficiency and attention to detail are valued in this project.

I'm seeking a professional with a solid understanding of SEO and established connections with popular news websites such as ABC News, Al Jazeera, BBC, Bloomberg, BuzzFeed News, CNN, Coda Media, The Daily Telegraph, Deadline Hollywood, The Economist, Financial Times, Forbes, Gizmodo, HuffPost,The Independent, The Indian Express, The Intercept, Los Angeles Times, MSNBC, National Geographic, NBC News, The New York Time, Newsweek, Reuters, Time, USA Today, The Wall Street Journal, The Washington Post, My key objective lies in substantially increasing website traffic. I need the backlinks to be permanent and placed on these particular news sites to target the general public. Therefore, the freelancer must have experience in these platforms and know the correct placement along wi...

I'm currently working on a project involving Machine Learning and Deep Learning, focusing on Meta Learning and Concept Drift. Our objective is to assess water quality using Meta Learning techniques. I've attached the base paper along with its GitHub repository link containing the code. In the GitHub repository, we have two detectors - one based on CNN and another on RNN. We're looking to expand our models by adding two more variations. Additionally, we have our own datasets related to water quality that we intend to utilize for this project. We're interested in collaborating with you for this task. Please let us know if you're available and willing to assist us. If so, we can discuss the details further and proceed with the project. GitHub Link :

I'm looking for a capable developer well versed in the Python programming language along with a deep understanding of Convolutional Neural Networks (CNN) and image processing libraries such as dlib. The main objective of the project encompasses: * Detecting lips from numerous images, * Implementing HoG SVM to save frames of various emotions like smiling and anger, * Applying it on CNN for both training and testing in a Jupyter Notebook interface. Key bidders should be proficient in: * Python Programming: Dlib, CNN, and Jupyter notebook are platforms you should be familiar with. * Machine Learning: Proficiency in CNN model training, testing, and tuning is crucial. * Image Processing: Ability to work with large datasets of images and extract the specific ...

We need a Python Developer with expertise in Deep Learning to Develop a Model with Code, specifically targeting Object Detection. We will discuss more on chat box.

...learning model to undertake classification with an instance segmentation method. A blend of both pre-trained and custom models will be employed for this unique task. Key specifications include: 1. Application of CNN, Transformer, Mask R-CNN methods. 2. Usage of both pre-trained and bespoke models specifically optimized for our images. 3. The core objective is object recognition, specifically focusing on 'Core' objects within our provided images. The ideal candidate should possess a strong understanding of: - Deep Learning concepts and implementation. - CNN, Transformer, and Mask R-CNN. - Customizing or adapting pre-trained models. - Experience in object recognition projects, particularly those pertaining to 'Core' objects. If you align...

Project Title: Forbes, CNN, SKY News, Al Arabia etc connections i need to grow personally I am seeking specific connections with Forbes, CNN, and SKY News to help me grow personally. Skills and Experience Required: - Strong networking skills to establish connections with influential individuals in the media industry - Familiarity with Forbes, CNN, and SKY News and their respective audiences - Excellent communication and persuasion skills to pitch myself for interviews and features Exposure: - I am specifically seeking interviews with these media outlets to gain exposure. Desired Outcome: - The desired outcome from this exposure is to increase brand awareness for myself and my personal brand.

I have a developed a model using cnn + attention and now I am looking for residual vision transformers model . I already implemented with one model so I have data cleaned and data managed . Also I have residual vision transformer script which is similar to my needs , only help needed is it should be adjusted as per my datasets .

I am seeking a freelance developer to create an innovative hybrid system. We possess a unique dataset that includes two types of tennis training videos: one recorded with a conventional frame-...retina or DVS, offering a more detailed and continuous view. In the frame-by-frame videos, the detection and tracking of the ball face challenges, as the ball is not always clearly visible, leading to inaccurate detections by conventional neural networks (CNN). However, in the videos captured with retina technology, the ball is consistently visible with high clarity. The aim is to develop a system that integrates both types of videos to ensure precise detection and tracking of the ball in 100% of the frames, turning to the retina video when the CNN fails to detect the ball in the con...

I have project to implement neural networks in C++. Important: You only have to use Visual Studio and no other extensions or tools to be used for this. Key Responsibilities: - Implement the designated CNN architecture - Apply this model to provide solutions specifically for semantic segmentation Ideal Skills and Experience: - Proficiency in C++ - Prior experience with Neural Networks, particularly Convolutional Neural Networks - Deep understanding of machine learning principles and practices The successful candidate will be required to work directly from the chosen model, implementing it in a way that best fits the problem domain.

My project requires the application of Convolutional Neural Networks (CNN) in C++ specifically aimed at semantic segmentation. I already have a specific CNN architecture in mind and I am seeking assistance to help implement it. Important: You only have to use Visual Studio and no other extensions or tools to be used for this. Key Responsibilities: - Implement the designated CNN architecture - Apply this model to provide solutions specifically for semantic segmentation Ideal Skills and Experience: - Proficiency in C++ - Prior experience with Neural Networks, particularly Convolutional Neural Networks - Knowledge of Semantic Segmentation - Deep understanding of machine learning principles and practices The successful candidate will be required to work directly f...

I'm seeking a capable developer to create a web-based system for accident and license plate detection with a comprehensive alert system. Key features should include: - Ability to d...Requirements - I need a project on Accident and License plate detection with alert system. It should be able to detect accidents in real time and send alerts with the detected license plate details of vehicles involved in accidents. Accidents that have to be detected include car collisions, flipped cars, cars that have caught fire and two wheeler accidents. For accident detection use - YOLO, SSD, Faster R CNN and compare performance of various models. For License Plate use - Open ALPR/Easy OCR For Alert System use - DEEP SORT / FCM I need everything to be integrated. (Developing an integrated U...

I am looking to develop a Convolutional Neural Network (CNN) model that can accurately classify 4D MRI scan images. The primary purpose of this project is image classification. Details: * The model should specifically be capable of classifying different types of medical images. * The main focus will be on MRI scans, as these form the bulk of the images that need to be classified. Skills & Experience: * Significant experience in CNN model development is essential. * The ideal candidate possesses a strong understanding of image classification techniques applicable to 4D MRI scan images. * Prior exposure in medical image analysis, particularly with MRI scans, is highly beneficial. * Knowledge of 4D image processing will greatly enhance your chances of success in this pr...

I'm seeking a skilled freelancer to undertake a deep learning project, spec...undertake a deep learning project, specifically focusing on Convolutional Neural Networks (CNN). The project requirements include: - Writing code in Python, showcasing strong proficiency in this language, as well as an apt understanding of deep learning and CNN concepts. - The CNN model should classify medical images. Therefore, experience in healthcare informatics or a related field, particularly with medical imagery and its characteristics, could be a significant benefit. - The completed code should successfully train the CNN model to accurately distinguish and classify specific categories within the provided medical images. Interested freelancers should possess experience in i...

...Furthermore, it should support tagging third-party online retailer product images and matching these with our datasets. Initially, the model will be used offline for research, analysis, and tagging of new arrivals daily. However, it is intended to eventually scale the model for real-time application. Pre-trained Model Options: (Open to proposals) • ResNet • InceptionV3 • EfficientNet • Mask R-CNN • DenseNet II. Autonomous Category Prediction and Creation Objective: Implement an advanced feature within the AI model that enables the autonomous prediction and creation of new sub-categories for a broad range of fashion items, including clothing, shoes, and accessories, when such items do not align with existing classifications in the dataset. Requiremen...

I am currently a novice in Convolutional Neural Networks (CNNs), seeking an experienced tutor who can guide me through practical applications. What I need: - Comprehensive understanding of practical uses of CNNs - Clear examples and explanations on applying CNNs in real-world situations Ideal Skills and Experience: - A thorough and practical knowledge of CNNs - Prior experience in teaching or tutoring deep learning, particularly convolutional neural networks - Ability to explain complex concepts in a simple, understandble manner

I require an expert-level computer science professional to collaborate on an epilepsy-focused project using deep learning models. Key components include: - Expertise in utilizing Convolutional Neural Networks (CNN), Long Short-Term Memory (LSTM), and RESNET-152 deep learning models. - Experience with interpreting Electroencephalogram (EEG) data. - Ability to achieve a fast turnaround as the project completion is desired ASAP. The ultimate goal is the efficient classification of epileptic seizures with the assistance of EEG data, utilising the strengths of CNN, LSTM, and RESNET-152 models. Your significant experience in these areas will greatly enhance the successful execution of this project within the desired timeframe.

project involves applying federated machine learning concept with lstm , cnn and random forest algorithm

...samples). Skills and Experience: - Extensive experience in building, testing, and optimizing Deep Learning Models. - Proficiency in Python, with knowledge of machine learning libraries and packages. - Proven track record in using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Transformer Networks. - Prior work with healthcare datasets is a plus. Responsibilities: - Retrieve and preprocess the Kaggle dataset to make it suitable for training a deep learning model. - Implement a deep learning model utilizing CNN, RNN, and Transformer Networks to predict Pulmonary Fibrosis. - Ensure that the model accounts for all relevant nuances and intricacies in the data. - Optimize the model for efficiency and accuracy. - Documentation of the procedure, resu...

...core functionality of the program should be image recognition. The successful freelancer is expected to create a robust, efficient and accurate CNN system capable of identifying and classifying images. - The program is expected to run on a Linux operating system, so optimal functionality on Linux is paramount. - While I'm open to libraries or frameworks that may aid in the development of the program, it’s important to primarily use C++. Ideal candidate: - Extensive experience in C++, specifically in machine learning contexts. - Knowledge of Linux operating systems and the ability to optimize programs for this platform. - Prior experience in creating CNN programs, particularly for image recognition. - Familiarity with any additional libraries or frameworks tha...

We want to improve the a...final predicted depth maps by developing a high-resolution diffusion model. This will enhance the predicted depth maps from the Convolutional Neural Network (CNN) model we are currently using. • Purpose & Goals Our main goal is to achieve more precise depth estimations from images. We believe incorporating a diffusion model as a second model after our current CNN model will help us meet this objective. • Data The project will deal exclusively with image data. These images will be used for creating depth estimates. • Ideal Candidate We are looking for freelancers with a strong understanding and experience in diffusion models, CNN models and image-processing techniques. Experience working on depth estimation problems wo...

I want to build and train a CNN model by giving input spectograms/chromagrams for emotion recognition.I have spectograms/chromagrams.