Aktion	Zweigstelle	Standorte	Status	Frist	Vorbestellungen
Vorbestellen	Zweigstelle: 07., Urban-Loritz-Pl. 2a	Standorte: NT.EIA FS.E Stei / College 6c - Englisch / Regal 627	Status: Verfügbar	Frist:	Vorbestellungen: 0

New to neural networks? Get a crash course in Python and the mathematical concepts you’ll use to create your own. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Train your neural network, measure errors, use transfer learning, implement the CRISP-DM model, and more.

 

Learn about neural networks from the ground up! Understand how neural networks work and master their basic elements, from algorithms and activation functions to transformers. If you’re a complete beginner, get a primer on key mathematical and Python concepts!

Develop different types of neural networks: simple, multilayer, and even deep neural networks. Walk through diverse practical examples, from image classification to large language models (LLMs).

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.

 

Highlights include:

> Network creation

> Network training

> Supervised and unsupervised learning

> Reinforcement learning

> Algorithms

> Multilayer networks

> Deep neural networks

> Back propagation

> Transformers

> Python

> Mathematical concepts

 

(Verlagstext)