Programming Neural Networks with Python

Programming Neural Networks with Python

Architect and train the intelligent systems driving the AI revolution. Programming Neural Networks with Python provides a definitive, hands-on roadmap to mastering the core technology behind modern artificial intelligence. Learn how to transform mathematical concepts into functional code, moving beyond black-box libraries to build, optimize, and deploy custom neural networks that can recognize patterns, predict trends, and solve complex real-world problems.

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What You Will Learn:

Neural Network Foundations: Master the essential mechanics of perceptrons, activation functions, backpropagation, and gradient descent using Python.

Deep Learning Frameworks: Step-by-step guidance on utilizing industry-standard libraries like TensorFlow, Keras, and PyTorch to build sophisticated multi-layer architectures.

Computer Vision & NLP: Discover how to implement Convolutional Neural Networks (CNNs) for image recognition and Recurrent Neural Networks (RNNs) for natural language processing.

Model Optimization: Learn proven techniques for fine-tuning hyperparameters, preventing overfitting, and improving the accuracy of your intelligent models.

Who This Book is For: This practical technical guide is essential for Python developers, data scientists, and AI enthusiasts looking to deepen their understanding of machine learning. It is an invaluable resource for any professional aiming to build a solid foundation in neural network programming to support their work in automation, research, or software engineering.

Product Details:

Format: Digital PDF Download

Authors: Joachim Steinwendner; Roland Schwaiger

Publisher: Rheinwerk Publishing, Inc.

Edition: 1st Edition

Publication Date: May 28, 2025

ISBN-13: 9781493226979

ISBN-10: 1493226975