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Rheinwerk Computing Programming Neural Networks with Python

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Description

Neural networks are at the heart of AI - so ensure you're on the cutting edge with this guide! For true beginners, get a crash course in Python and the mathematical concepts you'll need to understand and create neural networks. Or jump right into programming your first neural network, from implementing the scikit-learn library to using the perceptron learning algorithm. Learn how to train your neural network, measure errors, make use of transfer learning, implementing the CRISP-DM model, and more. Whether you're interested in machine learning, gen AI, LLMs, deep learning, or all of the above, this is the AI book you need! Highlights include: 1) Network creation 2) Network training 3) Supervised and unsupervised learning 4) Reinforcement learning 5) Algorithms 6) Multi-layer networks 7) Deep neural networks 8) Back propagation 9) Transformers 10) Python 11) Mathematical concepts 12) TensorFlow

Key Features

New Store Stock

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 July 2025
Listed Since
08 February 2025

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