Course details
As practitioner of Deep Learning, I am trying to bring many relevant topics under one umbrella in following topics. The Deep Learning has been most talked about for last few years and the knowledge has been spread across multiple places.
1. Foundation of Deep Learning (TensorFlow and Keras)
2. Use TensorFlow and Keras for Regression
3. Use TensorFlow and Keras for Classifications
4. Use Convolutional Neural Net (CNN) for Image Classifications
5. Use Recurrent Neural Networks (RNN) for Sequence data
6. Use TensorFlow and Keras for Clustering
7. Hyper parameters Tunning
8. How to avoid Overfitting
9. Best practices for Deep Learning
10. Award winning Architectures
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