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
Task
Features
• discussions
• interactive deep learning book
• tensorflow implementation
• jax implementation
• numpy/mxnet implementation
• pytorch implementation
• mathematical explanations
• code examples
Pricing Plans
Free
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