16.13 Wrap-Up
In Chapter 16, you peered into the future of AI. Deep Learning and reinforcement learning have captured the imagination of the computer-science and data science-communities. This may be the most important AI chapter in the book.
We mentioned the key deep-learning platforms, indicating that Google’s TensorFlow is the most widely used. We discussed why Keras, which presents a friendly interface to TensorFlow, has become so popular.
We set up a custom Anaconda environment for TensorFlow, Keras and JupyterLab, then used the environment to implement the Keras examples.
We explained what tensors are and why they’re crucial to deep learning. We discussed the basics of neurons and multi-layered neural networks for building Keras deep-learning ...
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