E-Books →Programming Neural Networks with Python

The Basics
Learn about neural networks from the ground up! Understand how neural networks work and what their basic elements are, from algorithms and activation functions to transformers. Includes a primer on mathematics and Python for beginners!
Putting Theory into Practice
Develop different types of neural networks: simple ones, multi-layer ones, and even deep neural networks. Walk through diverse practical examples, from image classification to large language models (LLMs).
Letting the Machine's Learn
Train your newly created (or modified!) neural network. Get expert tips on skillfully using training data, selecting the right tools, increasing the hit rates of your models, and avoiding pitfalls.Network creationNetwork trainingSupervised and unsupervised learningReinforcement learningAlgorithmsMulti-layer networksDeep neural networksBack propagationTransformersPythonMathematical conceptsTensorFlow