Neuronale Netze programmieren mit Python

Roland Schwaiger

ISBN 10: 3367102547 / ISBN 13: 9783367102549

Published by Rheinwerk Verlag Gmbh Jan 2025, 2025

About this Item

Neuware -Neuronale Netze stehen im Mittelpunkt, wenn es um Künstliche Intelligenz und Machine Learning geht. Sie revolutionieren Bild- und Spracherkennung, Spiele-KIs und vieles mehr. Zum Glück lassen sich die genialen Ideen dahinter einfach erklären. Um sie zu verstehen und einzusetzen, programmieren Sie verschiedene Netztypen selbst nach! Und zwar in Python, der Hauptsprache der KI-Welt. Sie werden sich dabei mit Mathematik und Programmierung befassen, brauchen aber keine konkreten Vorkenntnisse.Rheinwerk Verlag GmbH, Rheinwerkallee 4, 53227 Bonn 510 pp. Deutsch.

Seller Inventory # 9783367102549

Bibliographic Details

• Title: Neuronale Netze programmieren mit Python
• Publisher: Rheinwerk Verlag Gmbh Jan 2025
• Publication Date: 2025
• Language: German
• ISBN 10: 3367102547
• ISBN 13: 9783367102549
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 230W x 174H x 31D millimeters 230 millimeters width by 174 millimeters height by 31 millimeters depth
• Weight: 924 grams

About this title

Synopsis

Brilliant ideas explained simply: the understandable entry into the AI world Neural networks are the technology behind deep learning, machine learning and generative artificial intelligence such as ChatGPT. They are currently revolutionising a wide range of applications, from strategy games to image and voice recognition. Neural networks have ingenious ideas that can be easily explained fortunately.

Our experts help you understand and develop neural networks yourself. To use them profitably, reprogram different network types yourself. In Python, the main language of the AI world. You will deal with mathematics and programming, but do not need any concrete previous knowledge. Roland Schwaiger and Joachim Steinwendner explain everything particularly clearly with numerous illustrations. A fascinating book that brings you the perspective in the AI world. Complete in colour.

• Get started quickly with all Python and math basics
• Learning algorithms, activation functions, backpropagation, transformer networks.
• Includes online learning environment and getting started with TensorFlow
• Complete in colour, with numerous illustrations and graphics

From the contents:

• The basic idea behind neural networks
• Build a simple neural network
• Train neural networks
• Supervised and unsupervised learning
• Introduction to TensorFlow
• Compact Python Course
• Important math basics
• Reinforcement Learning
• Various types of net and their applications.
• Back Propagation
• Deep Learning
• Tools for Data Scientists