Deep Learning with Python (Second Edition) presents deep learning from first principles while focusing on practical application with Python and the Keras library. François Chollet, creator of Keras, combines intuitive explanations with clear, full‑colour illustrations and runnable code.

The book covers core building blocks and real‑world workflows: image classification and segmentation, time‑series forecasting, text classification and translation, and generative models including style transfer and image generation. Emphasis is on both conceptual understanding and implementable examples using modern tools like Keras and TensorFlow.

Designed for readers with intermediate Python skills, the text provides step‑by‑step guidance, best practices for model development, and strategies to move projects from prototype to production without requiring an extensive math background.

Key topics

• Foundations of neural networks and learning
• Computer vision and image models
• Text modelling and machine translation
• Time‑series forecasting and generative techniques

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