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  01 - Introduction

   01 - Reshaping the world with deep learning.srt

   02 - Essential background and knowledge.srt

   03 - How to use Codespaces and the exercise files.srt

  02 - 1. Understanding Keras

   01 - Understanding deep learning and Keras.srt

   02 - Neuron as we know it.srt

   03 - Exploring the TensorFlow and Theano backends.srt

   04 - Distinction between Keras and TensorFlow.srt

  03 - 2. Setting up Keras

   01 - Keras installation with a TensorFlow backend on Windows.srt

  04 - 3. Getting Started with Keras Models

   01 - The Train-Test-Evaluate cycle.srt

   02 - Introduction to the Keras Sequential API.srt

   03 - Data pre-processing for training.srt

   04 - Building a model using the Sequential API.srt

  05 - 4. Model Training and Performance Analysis

   01 - Training models.srt

   02 - Model predictions and evaluation.srt

   03 - Visualize results and save the model.srt

  06 - 5. Leveraging Pre-Trained Models in Keras

   01 - Exploring pre-trained models.srt

   02 - Image recognition with the ResNet50 model.srt

  07 - 6. Tools for Visualization and Assessment

   01 - Exporting logs for Keras to TensorFlow.srt

   02 - Monitoring training performance with TensorBoard.srt

   03 - Visualizing computation graphs with TensorBoard.srt

  08 - Conclusion

   01 - Next steps.srt