Keras v/s Pytorch Introduction to Implementation

This presentation provides a comparative overview of Keras and PyTorch, two popular deep learning frameworks. It covers their key features, ease of use, and practical implementation aspects to help you choose the right tool for your projects.

1. Keras vs PyTorch

2. Keras Pytorch

3. Debudding Keras Keras , wraps lot of computation in abstractions Difficult pin down the error. Less chances of making errors Pytorch Verbose framework Execute line by line Easy to Debug(We can debug like numpy )

4. Exporting models Keras Exports model to JSON or H5. Safer Can take advantage of tensor board for data visualization and model interpretation PyTorch Save the model in pickles No direct data visualization support.

5. Performance

6. Thank you