Writing recognition with TensorFlow

Read Chapter 4: Convolutional Neural Networks from “Gulli, A., Kapoor, A., Pal, S. (2019). Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and More with TensorFlow 2 and the Keras API, 2nd Edition. United Kingdom: Packt Publishing.” See LeNet code as in an example of DCNN ‒ LeNet (page 114), and:

1. define the LeNet network with your own example and explain in plain text how your arguments make your network different from the example in the book.
2. defined your own learning variables and explain in plain text how your arguments make your learning different from the example in the book
3. pick your own number of epoch to execute the model and explain why you chose that number

see some of the MNIST images in the book and explain how and why the book results relate to your network results.