Deep Learning


Deep Learning
Deep Learning with Python
Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
Neural Networks and Deep Learning
Grokking Deep Learning
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Deep Learning for Coders with Fastai and Pytorch: AI Applications Without a PhD
Deep Learning with PyTorch
Understanding Deep Learning
Deep Learning from Scratch: Building with Python from First Principles
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence (Addison-Wesley Data & Analytics Series)
Deep Learning: Foundations and Concepts
Build a Large Language Model (From Scratch)
Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)
Neural Networks and Deep Learning: A Textbook
Emmimal P. Alexander
You don’t train a neural network. You let it struggle, fail, adapt, and repeat—until its failures look like intelligence.
Emmimal P. Alexander, NEURAL NETWORKS AND DEEP LEARNING WITH PYTHON A PRACTICAL APPROACH

Amit Ray
Artificial intelligence is defined as the branch of science and technology that is concerned with the study of software and hardware to provide machines with the ability to learn insights from data and the environment, and the ability to adapt to changing situations with increasing precision, accuracy, and speed.
Amit Ray, Compassionate Artificial Superintelligence AI 5.0

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