What this book covers
Chapter 1, Introduction to Deep Learning, explains the fundamentals of deep learning and helps us to understand what artificial neural networks are and how they learn. We will also learn to build our first artificial neural network from scratch.
Chapter 2, Getting to Know TensorFlow, helps us to understand one of the most powerful and popular deep learning libraries called TensorFlow. You will understand several important functionalities of TensorFlow and how to build neural networks using TensorFlow to perform handwritten digits classification.
Chapter 3, Gradient Descent and Its Variants, provides an in-depth understanding of gradient descent algorithm. We will explore several variants of gradient descent algorithm ...
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