Deep Learning with Python Second Edition by François Chollet

This technical manual centers on the development of artificial intelligence, neural networks, and deep learning leveraging the Python programming language. Authored by François Chollet, the original architect of the Keras deep learning library, this second edition investigates contemporary methodologies for constructing deep learning and machine learning models.

The text outlines foundational theories tied to model training, data manipulation, deep learning pipelines, and neural network structures. The material is systematically arranged to assist individuals in comprehending the application of deep learning methodologies across diverse data-centric and computational projects.

Professionals and students can investigate subjects encompassing sequence modeling, natural language processing, computer vision, and the optimization of neural networks. Furthermore, the publication addresses applied execution strategies utilizing Keras and Python, alongside an exploration of tactics prevalent in current machine learning initiatives.

Ideal for technology practitioners, students, data scientists, and developers, this guide delivers an extensive overview of deep learning principles and their actionable execution within artificial intelligence and software engineering environments.

Topics Covered:

• Deep learning fundamentals
• Neural network concepts
• Python for deep learning
• Keras framework applications
• Machine learning workflows
• Computer vision techniques
• Natural language processing concepts
• Sequence modeling methods
• Neural network training
• Model optimization strategies

Specifications:

• Title: Deep Learning with Python
• Author: François Chollet
• Edition: Second Edition
• Category: Artificial Intelligence
• Subject: Deep Learning and Machine Learning
• Language: English
• ISBN-10: 1617296864
• ISBN-13: 978-1617296864