2 TensorFlow 2

In the previous chapter, we learned that TensorFlow is an end-to-end machine learning framework predominantly used for implementing deep neural networks. TensorFlow is skillful at converting these deep neural networks to computational graphs that run faster on optimized hardware (e.g., GPUs and TPUs). But keep in mind that this is not the only use for TensorFlow. Table 2.1 delineates other areas TensorFlow supports.

2.1 First steps with TensorFlow 2

2.1.1 How does TensorFlow operate under the hood?

2.2 TensorFlow building blocks

2.2.1 Understanding tf.Variable

2.2.2 Understanding tf.Tensor

2.2.3 Understanding tf.Operation

2.3 Neural network-related computations in TensorFlow

2.3.1 Matrix multiplication

2.3.2 Convolution operation

2.3.3 Pooling operation

Summary

Answers to exercises