Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python

© Umberto Michelucci 2022

U. MichelucciApplied Deep Learning with TensorFlow 2https://doi.org/10.1007/978-1-4842-8020-1_2

2. Hands-on with a Single Neuron

Umberto Michelucci¹  

(1)

Dübendorf, Switzerland

 

After reading about learning with neural networks in the previous chapter, you are now ready to explore their most fundamental component, the neuron. In this chapter, you learn the main components of the neuron. You also learn how to solve two classical statistical problems (i.e., linear regression and logistic regression) by using a neural network with just one neuron. To make things a bit more fun, you do that using real datasets. We discuss the two models and explain how to implement the two algorithms in Keras.

First, we briefly explain what a ...