Title: Practical Deep Learning, 2nd Edition: A Python-Based Introduction, Author: Ronald T. Kneusel
Title: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified, Author: Jeremy Kubica
Title: Deep Learning: A Visual Approach, Author: Andrew Glassner
Title: Practical Deep Learning: A Python-Based Introduction, Author: Ronald T. Kneusel
Title: Deep Learning: A Visual Approach, Author: Andrew Glassner
Title: Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python, Author: Sebastian Raschka
Title: Math and Architectures of Deep Learning, Author: Krishnendu Chaudhury
Title: Deep Learning with JAX, Author: Grigory Sapunov
Title: Natural Language Processing in Action, Second Edition, Author: Hobson Lane
Title: Graph Neural Networks in Action, Author: Keita Broadwater
Title: Network Models in Finance: Expanding the Tools for Portfolio and Risk Management, Author: Gueorgui S. Konstantinov
Title: Designing Deep Learning Systems: A software engineer's guide, Author: Chi Wang
Title: Mastering PyTorch - Second Edition: Create and deploy deep learning models from CNNs to multimodal models, LLMs, and beyond, Author: Ashish Ranjan Jha
Title: Deep Learning and the Game of Go, Author: Max Pumperla
Title: Deep Learning with R, Second Edition, Author: Francois Chollet
Title: TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning, Author: Bharath Ramsundar
Title: Self-Organizing Maps, Author: Teuvo Kohonen
Title: Inside Deep Learning: Math, Algorithms, Models, Author: Edward Raff
Title: Neural Network Learning: Theoretical Foundations, Author: Martin Anthony
Title: Neural-Symbolic Cognitive Reasoning, Author: Artur S. D'Avila Garcez

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