1. Deep Learning Yoshua Bengio, 2015 2. Deep Learning with Python François Chollet, 2017 3. Deep Learning: A Practitioner's Approach Josh Patterson, 2017 4. Deep Learning from Scratch: Building with Python from First Principles Seth Weidman, 2019 5. Grokking Deep Learning Andrew W. Trask, 2019 6. Deep Learning for Coders with Fastai and PyTorch Jeremy Howard, 2020 7. Neural Networks and Deep Learning 2017 8. Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems Geron Aurelien, 2017 9. Neural Networks and Deep Learning: A Textbook Charu C. Aggarwal, 2018 10. Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow Magnus Ekman, 2021 11. Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms Nikhil Buduma, 2017 12. Deep Learning with R François Chollet, 2018 13. Grokking Deep Reinforcement Learning Miguel Morales, 2020 14. The Hundred-page Machine Learning Book Andriy Burkov, 2019 15. Artificial Intelligence By Example: Acquire Advanced AI, Machine Learning, and Deep Learning Design Skills, 2nd Edition Denis Rothman, 2020 16. Hands-On Deep Learning Algorithms with Python: Master Deep Learning Algorithms with Extensive Math by Implementing Them Using TensorFlow Sudharsan Ravichandiran, 2019 17. Fundamentals of Deep Learning Nikhil Buduma, 2022 18. Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence Jon Krohn, 2019 19. Deep Learning Cookbook: Practical Recipes to Get Started Quickly Douwe Osinga, 2018 20. Deep Learning John D. Kelleher, 2019 21. Deep Learning for Vision Systems Mohamed Elgendy, 2020 22. Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play David Foster, 2019 23. Deep Learning: A Visual Approach Andrew Glassner, 2021 24. Deep Learning with Python, Second Edition François Chollet, 2021 25. Deep Learning with R, Second Edition Joseph J. Allaire, 2022 26. Deep Learning in Computer Vision: Principles and Applications 2020 27. TinyML: Machine Learning with TensorFlow Lite on Arduino and Ultra-Low-Power Microcontrollers Daniel Situnayake, 2019 28. GANs in Action: Deep Learning with Generative Adversarial Networks Vladimir Bok, 2019 29. Grokking Artificial Intelligence Algorithms Rishal Hurbans, 2020 30. Dive Into Deep Learning Zachary Lipton, 2023 31. Inside Deep Learning: Math, Algorithms, Models Edward Raff, 2022 32. Math for Deep Learning: What You Need to Know to Understand Neural Networks Ronald T Kneusel, 2021 33. Evolutionary Deep Learning: Genetic Algorithms and Neural Networks Micheal Lanham, 2023 34. Understanding Machine Learning: From Theory to Algorithms Shai Shalev-Shwartz, 2014 35. Deep Learning with PyTorch Thomas Viehmann, 2020 36. Python Machine Learning: Machine Learning and Deep Learning with Python, Scikit-learn, and TensorFlow 2 Sebastian Raschka, 2019 37. TensorFlow Machine Learning Cookbook Nick McClure, 2017 38. The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World Pedro Domingos, 2015 39. Deep Learning with TensorFlow and Keras: Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models Sujit Pal, 2022 40. Machine Learning - A Journey To Deep Learning: With Exercises And Answers Andreas Miroslaus Wichert, 2021 41. Hands-on Machine Learning with JavaScript: Solve Complex Computational Web Problems Using Machine Learning Burak Kanber, 2018 42. Introduction to Machine Learning with Python: A Guide for Data Scientists Sarah Guido, 2016 43. Python Machine Learning Sebastian Raschka, 2015 44. Artificial Intelligence for Humans Jeff Heaton, 2013 45. Machine Learning for Absolute Beginners: A Plain English Introduction Oliver Theobald, 2017 46. Practical Deep Learning for Cloud, Mobile, and Edge: Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow Anirudh Koul, 2019 47. Introduction to Deep Learning: From Logical Calculus to Artificial Intelligence Sandro Skansi, 2018 48. Deep Learning: Methods and Applications Dong Yu, 2014 49. Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning Chris Albon, 2018 50. Advanced Deep Learning with TensorFlow 2 and Keras: Apply DL, GANs, VAEs, Deep RL, Unsupervised Learning, Object Detection and Segmentation, and More, 2nd Edition Rowel Atienza, 2020 51. An Introduction to Statistical Learning: With Applications in R Trevor Hastie, 2013 52. Deep Learning. Foundations and Concepts Christopher M. Bishop, Hugh Bishop Springer (2023)
Tuesday, October 24, 2023
Deep Learning Books (Oct 2023)
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