Differentiable computing

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Differentiable computing
General Differentiable programming • Neural Turing machine • Differentiable neural computer • Automatic differentiation • Neuromorphic engineering • Cable theory • Pattern recognition • Computational learning theory • Tensor calculus
Concepts Gradient descent • SGD • Clustering • Regression • Overfitting • Adversary • Attention • Convolution • Loss functions • Backpropagation • Normalization • Activation • Softmax • Sigmoid • Rectifier • Regularization • Datasets • Augmentation
Programming languages Python • Julia
Application Machine learning • Artificial neural network • Deep learning • Scientific computing • Artificial Intelligence
Hardware IPU • TPU • VPU • Memristor • SpiNNaker
Software library TensorFlow • PyTorch • Keras • Theano
Implementation Audio-visual AlexNet • WaveNet • Human image synthesis • HWR • OCR • Speech synthesis • Speech recognition • Facial recognition • AlphaFold • DALL-E
Verbal Word2vec • Transformer • BERT • NMT • Project Debater • Watson • GPT-2 • GPT-3
Decisional AlphaGo • AlphaZero • Q-learning • SARSA • OpenAI Five • Self-driving car • MuZero • Action selection • Robot control
People Alex Graves • Ian Goodfellow • Yoshua Bengio • Geoffrey Hinton • Yann LeCun • Andrew Ng • Demis Hassabis • David Silver • Fei-Fei Li
Organizations DeepMind • OpenAI • MIT CSAIL • Mila • Google Brain • FAIR
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