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22 books
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2 voters
Deep Learning Books
Showing 1-50 of 307
Deep Learning (ebook)
by (shelved 64 times as deep-learning)
avg rating 4.44 — 2,124 ratings — published 2016
Deep Learning with Python (Paperback)
by (shelved 45 times as deep-learning)
avg rating 4.57 — 1,398 ratings — published 2017
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play (Paperback)
by (shelved 18 times as deep-learning)
avg rating 4.31 — 259 ratings — published
Neural Networks and Deep Learning (ebook)
by (shelved 18 times as deep-learning)
avg rating 4.58 — 459 ratings — published 2013
Grokking Deep Learning (ebook)
by (shelved 17 times as deep-learning)
avg rating 4.23 — 259 ratings — published
Hands-On Machine Learning with Scikit-Learn and TensorFlow (ebook)
by (shelved 16 times as deep-learning)
avg rating 4.55 — 2,809 ratings — published 2017
Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD (Paperback)
by (shelved 15 times as deep-learning)
avg rating 4.41 — 269 ratings — published
Deep Learning with PyTorch (Paperback)
by (shelved 12 times as deep-learning)
avg rating 4.17 — 163 ratings — published 2020
Understanding Deep Learning (Kindle Edition)
by (shelved 9 times as deep-learning)
avg rating 4.61 — 102 ratings — published
Deep Learning from Scratch: Building with Python from First Principles (Paperback)
by (shelved 9 times as deep-learning)
avg rating 4.06 — 48 ratings — published
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series)
by (shelved 9 times as deep-learning)
avg rating 4.34 — 109 ratings — published
Build a Large Language Model (From Scratch)
by (shelved 7 times as deep-learning)
avg rating 4.62 — 271 ratings — published
Deep Learning: Foundations and Concepts (Hardcover)
by (shelved 7 times as deep-learning)
avg rating 4.65 — 49 ratings — published
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
by (shelved 7 times as deep-learning)
avg rating 4.54 — 819 ratings — published
Deep Learning: A Practitioner's Approach (Paperback)
by (shelved 7 times as deep-learning)
avg rating 3.77 — 112 ratings — published 2015
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications (Paperback)
by (shelved 6 times as deep-learning)
avg rating 4.45 — 1,032 ratings — published 2022
Deep Learning: A Visual Approach (Paperback)
by (shelved 6 times as deep-learning)
avg rating 4.82 — 67 ratings — published
Math for Deep Learning: A Practitioner's Guide to Mastering Neural Networks (Paperback)
by (shelved 6 times as deep-learning)
avg rating 4.51 — 39 ratings — published
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (Kindle Edition)
by (shelved 6 times as deep-learning)
avg rating 4.12 — 68 ratings — published
Neural Networks and Deep Learning: A Textbook (Hardcover)
by (shelved 6 times as deep-learning)
avg rating 4.31 — 49 ratings — published
Fundamentals of Deep Learning: Designing Next-Generation Artificial Intelligence Algorithms (Kindle Edition)
by (shelved 6 times as deep-learning)
avg rating 3.86 — 119 ratings — published 2015
Make Your Own Neural Network (Kindle Edition)
by (shelved 6 times as deep-learning)
avg rating 4.34 — 703 ratings — published 2016
Pattern Recognition and Machine Learning (Information Science and Statistics)
by (shelved 6 times as deep-learning)
avg rating 4.32 — 1,904 ratings — published
Dive into Deep Learning (Paperback)
by (shelved 5 times as deep-learning)
avg rating 4.41 — 22 ratings — published
Natural Language Processing with Transformers: Building Language Applications with Hugging Face (Paperback)
by (shelved 5 times as deep-learning)
avg rating 4.39 — 207 ratings — published
Genius Makers: The Mavericks Who Brought AI to Google, Facebook, and the World (Hardcover)
by (shelved 5 times as deep-learning)
avg rating 4.27 — 3,118 ratings — published 2021
The Hundred-Page Machine Learning Book (Paperback)
by (shelved 5 times as deep-learning)
avg rating 4.25 — 1,440 ratings — published
Grokking Deep Reinforcement Learning (Paperback)
by (shelved 5 times as deep-learning)
avg rating 4.51 — 45 ratings — published
The Deep Learning Revolution (Mit Press)
by (shelved 5 times as deep-learning)
avg rating 3.73 — 593 ratings — published 2018
Hands-On Large Language Models: Language Understanding and Generation (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.31 — 225 ratings — published
Practical Deep Learning: A Python-Based Introduction (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.27 — 22 ratings — published
The Little Book of Deep Learning (ebook)
by (shelved 4 times as deep-learning)
avg rating 4.32 — 150 ratings — published
Inside Deep Learning: Math, Algorithms, Models (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.64 — 22 ratings — published
Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.41 — 111 ratings — published
Deep Learning for Vision Systems (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.30 — 50 ratings — published
Grokking Machine Learning (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.55 — 67 ratings — published
Deep Learning with R (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.45 — 88 ratings — published 2018
Long Short-Term Memory Networks With Python: Develop Sequence Prediction Models With Deep Learning (ebook)
by (shelved 4 times as deep-learning)
avg rating 4.00 — 20 ratings — published
Deep Learning for Natural Language Processing: Develop Deep Learning Models for your Natural Language Problems (ebook)
by (shelved 4 times as deep-learning)
avg rating 4.43 — 7 ratings — published
Deep Learning (Kindle Edition)
by (shelved 4 times as deep-learning)
avg rating 3.90 — 467 ratings — published 2019
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More (Paperback)
by (shelved 4 times as deep-learning)
avg rating 3.86 — 49 ratings — published
Compassionate Artificial Intelligence (Paperback)
by (shelved 4 times as deep-learning)
avg rating 4.89 — 36 ratings — published
Math and Architectures of Deep Learning (Paperback)
by (shelved 3 times as deep-learning)
avg rating 4.17 — 6 ratings — published 2020
Meta Learning: How To Learn Deep Learning And Thrive In The Digital World (ebook)
by (shelved 3 times as deep-learning)
avg rating 4.01 — 101 ratings — published
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps (Paperback)
by (shelved 3 times as deep-learning)
avg rating 4.15 — 284 ratings — published
Mathematics for Machine Learning: 1st Edition (Kindle Edition)
by (shelved 3 times as deep-learning)
avg rating 4.32 — 249 ratings — published
Artificial Intelligence: A Guide for Thinking Humans (Hardcover)
by (shelved 3 times as deep-learning)
avg rating 4.34 — 3,920 ratings — published 2019
Neural Networks from Scratch in Python (Unknown Binding)
by (shelved 3 times as deep-learning)
avg rating 4.59 — 59 ratings — published
Better Deep Learning: Train Faster, Reduce Overfitting, and Make Better Predictions (ebook)
by (shelved 3 times as deep-learning)
avg rating 4.50 — 18 ratings — published
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python (ebook)
by (shelved 3 times as deep-learning)
avg rating 4.38 — 24 ratings — published
“One of the key algorithms of compassionate artificial intelligence is Mother-Infant Inter-brain Synchrony algorithm, which mimics the brain-to-brain synchrony of gaze, facial expressions, touch and heart rhythms of mother and child.”
― Compassionate Artificial Superintelligence AI 5.0
― Compassionate Artificial Superintelligence AI 5.0
“Artificial intelligence mirrors human learning—not in perfection, but in its persistent pursuit of improvement.”
― Deep Learning Dynamics: The Science Behind AI Training: Exploring the Strategies, Challenges, and Innovations Shaping Modern AI Development
― Deep Learning Dynamics: The Science Behind AI Training: Exploring the Strategies, Challenges, and Innovations Shaping Modern AI Development
