Need to build Lstm ,bilstm ,cnn, lstm+attention and resnet using 200×900 dimension for time series data of shape (1500,18000) for classification problem
Dibayar semasa penghantaran
I am looking for a skilled developer to build various deep learning models for a classification problem involving time series data. The project requires expertise in Lstm, Bilstm, Cnn, Lstm+attention, and Resnet algorithms. The data has a shape of (1500,18000) and a dimension of 200x900.
Ideal Skills and Experience:
- Proficient in Python and deep learning frameworks such as TensorFlow and Keras
- Strong understanding of Lstm, Bilstm, Cnn, Lstm+attention, and Resnet algorithms
- Experience with time series data and classification problems
- Ability to achieve high accuracy in classification
- Detail-oriented and able to provide detailed documentation throughout the project.
Dataset will be provided
ID Projek: #36722928
37 pekerja bebas membida secara purata $190 untuk pekerjaan ini
Hello, I understood the project but have few doubts, please text me so i can clear all my questions right away and to confirm my skills and expertise you can have a look to my profile
Hello, I am very familiarized with the requirements of your projects. And it can be done really fast. Let's connect over chat to discuss more on this. Thanks