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Deep Learning with Python: Practical Deep Learning, 2nd Edition
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Deep Learning with Python, Second Edition by François Chollet is an English-language computer science and artificial intelligence textbook published by...
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Deep Learning with Python: Practical Deep Learning, 2nd Edition
Tk 48.95
Deep Learning with Python, Second Edition by François Chollet is an English-language computer science and artificial intelligence textbook published by Manning Publications.
Written by the creator of the Keras deep learning library, this expanded second edition provides an intuitive, practical introduction to deep learning using Python, Keras, and TensorFlow. The book avoids mathematical jargon in favor of clear code examples, conceptual explanations, and hands-on practice.
The text covers core deep learning techniques and architectures, including convolutional neural networks (CNNs) for computer vision, recurrent neural networks (RNNs) and Transformers for natural language processing (NLP) and sequence data, generative deep learning, and advanced model optimization techniques.
Suitable for developers, data scientists, machine learning engineers, and software professionals, this volume serves as an essential, high-level guide for building real-world AI applications.
Topics Covered
- Deep learning fundamentals and mathematical building blocks
- Neural network architecture, loss functions, and optimizers
- Computer vision applications using Convolutional Neural Networks (CNNs)
- Natural Language Processing (NLP) and sequence modeling with Transformers
- Generative deep learning (Text generation, VAEs, and GANs)
- Best practices for model training, hyperparameter tuning, and deployment
Product Details
- Author: François Chollet
- Publisher: Manning Publications
- Title: Deep Learning with Python
- Edition: Second Edition
- Format: Paperback
- ISBN-13: 9781617296864
- ISBN-10: 1617296864
- Category: Computer Science / Artificial Intelligence
- Subject: Deep Learning and Machine Learning
- Language: English
Product Type
Computer Science & AI Technical Book