Template:Differentiable computing
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Template:Differentiable computing
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Differentiable computing
General
Differentiable programming
Information geometry
Statistical manifold
Neural Turing machine
Differentiable neural computer
Automatic differentiation
Neuromorphic engineering
Cable theory
Pattern recognition
Tensor calculus
Computational learning theory
Concepts
Gradient descent
SGD
Clustering
Regression
Overfitting
Adversary
Attention
Convolution
Loss functions
Backpropagation
Normalization
Activation
Softmax
Sigmoid
Rectifier
Regularization
Datasets
Augmentation
Diffusion
Autoregression
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
LaMDA
NMT
Project Debater
IBM 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
Meta AI
Architectures
Recurrent neural network (RNN)
Long short-term memory (LSTM)
Gated recurrent unit (GRU)
Echo state network
Multilayer perceptron (MLP)
Autoencoder
Variational autoencoder (VAE)
Generative adversarial network (GAN)
Portals
Computer programming
Technology
Category
Artificial neural networks
Machine learning
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