Tensorflow Jobs

I am looking for someone to implement the perceptual loss for my model, based on my implementation. The library that I have been using is Keras.

Need similar AI / ML based to [log masuk untuk melihat URL] Respond only if you can develop the solution using either Azure, AWS, Google AI or Watson.

We would like to hire an AI programmer to join our team and work alongside us. We are needing this person to be very acquainted with Tensorflow and XGBoost and Deep Q Learning. We develop in node.js and need our models to be able to load and use in node.js or can run in Python and send via localhost websocket to receive and send prediction. We need someone who is familiar with writing Deep Q L...

Tensor Flow Deep ML Docker Image creation

I am looking for someone that knows python - tensorflow - openpose and can do something similar to this video: [log masuk untuk melihat URL] Then of course capture all the info so we can do calculations on things like: speed - angle - path for the feet - ankles, legs, knees, hands , arms, elbos head, eyes, etc... OpenPose has a windows download. I recommend a GPU. You can download from: [log m...

AI: [log masuk untuk melihat URL] One that is knowledgeable in AI, python, ubuntu, machine learning. Which model is the best for training on graphic cards, that works on a mini, large, huge datasets? Looking for sample texts, say a couple wikipedia pages, or sample paragraph of texts, that can train on, and output similar text. Train on wikipedia, output wikipedia text. Setup a few, and guide...

Need an expert in TensorFlow, Deep Learning and Image processing

Image processing, deep learning expert for a project

We are looking for someone who is well versed with Python, Tensorflow, SSD Mobilenet stacksets and could handle capturing Video streams from IP Cameras(1 or many) and perform Analytics with a scale-able architecture

Hi, I am looking for software for IP camera detail is attached Required files from lancer 1. Project – working executable file 2. full source code full payment will be done after successful demo complete work done

i am working on deep reinforcement learning. i am stuck with continuous state space value how to handle continuous state value by using quantization for energy efficiency and spectral efficiency. I have created my code initially for power saving by using three Q-learning (dqn, double and dueling) algorithm. Now i have already optimized power and throughput. But i am confused where and how to solve...

The algorithm should be developed using actor critic advantage method using TensorFlow.

Hello. I am developing a card detection App now. I have some trouble to detect edge of card though I use good opencv module. So I am going to use tensorflow lite model. If you have a good experience in DL frameworks and you can finish this project in 2~3 days, please bid to my job. I attached some sample images. Your module must detect cards from these images. Thank you.

Hello. I am developing a ID card detection App now. I have some trouble to detect edge of ID card though I use good opencv module. So I am going to use tensorflow lite model. If you have a good experience in DL frameworks and you can finish this project in 2~3 days, please bid to my job. I attached some sample images. Your module must detect ID cards from these images. Thank you.

We require a dedicated full-time deep learning specialist to create a custom CNN model for our 1 million+ image database. We’re looking to create a custom CNN model. Think more along the lines of a custom recommendation system rather than simple object identification. This project will be very custom, this is not a standard object identification model. We’re looking to have this pro...

I have some ML code from different repos: I need for you to bring it into one format: 1. my run of it must be python [log masuk untuk melihat URL] <stock name> 2. update all dependencies and train the model on last 3 years of data(excluding the 200 last days) 3. run the validation on last 200 days and output it to csv in format Date;Real price;Predicted price and print last line to console B...

Actually I have many csv file with hundred of data rows this is only one example: for each row the first columns are the user input data (in this example I have 4 inputs, in others are less and in others are more) The others columns are the results (in this example I have 12 results, in others are less and in others are more) next colums are data that depend of firsts inputs something like t...

Our company has lots of tasks that should be done by tensorflow. Something like detection modules(Detecting phone, body, smoke, cigarette, car, person ...). You must have skills in tensorflow pb (or tflite) file generation, modification, merging. Only tensorflow experts please. This position is actively opened for any tensorflow expert. Please write roughly what tensorflow is at the beginning of ...

I have created a Unet colorization autoencoder. The color space that I work on is Ciel Lab. The network accepts the luminance channel and predicts the a and b channel. In the so far created model, I would like to add some custom loss and metrics. The custom loss is the Perceptual loss and metric is the PSNR to be applied. I am looking for a customization in an existing model.

I am having the dataset in the form of both .h5 and .tflite which are deep learning models, Hence I need to integrate and come up with a front end application from where the user can give input so that the model will predict.

the job of my project is to detect the gloves mask and goggles of a person. who is is entering into a room. it is basically a Machine learning model of AI Transformation

You need to build a model using opencv. please check problem definition for more details.