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Dive into Deep Learning

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About

Dive into Deep Learning is an interactive deep learning book with code, math, and discussions. It provides implementations in PyTorch, NumPy/MXNet, JAX, and TensorFlow. Adopted at 500 universities from 70 countries. The book covers a wide range of topics, including linear regression, neural networks, convolutional neural networks, recurrent neural networks, attention mechanisms, optimization algorithms, computer vision, natural language processing, reinforcement learning, Gaussian processes, and hyperparameter optimization.

Platform
Web
Keywords
machine learningaieducationdeep learningcourses
Task
deep learning

Features

discussions

interactive deep learning book

tensorflow implementation

jax implementation

numpy/mxnet implementation

pytorch implementation

mathematical explanations

code examples

Pricing Plans

Free
Free Plan

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