Tag: Stochastic gradient descent

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Open AI's GPT-3 Paper Shares NeurIPS 2020 Best Paper Awards With Politecnico di Milano, CMU ...

Added to Collection on: 2020-12-07 17:26:15

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Machine learning
Learning
Artificial intelligence
Computational neuroscience
Deep learning
GPT-3
Unsupervised learning
OpenAI
Conference on Neural Information Processing Systems
Stochastic gradient descent
Strategy&

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How A “Crazy Idea” Changed The Way We Do Machine Learning: NeurIPS Test Of Time Award ...

Added to Collection on: 2020-12-24 10:30:00

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Algorithms
Academic disciplines
Artificial intelligence
Computational neuroscience
Conference on Neural Information Processing Systems
International Conference on Machine Learning
Computational statistics
Stochastic optimization
Machine learning algorithms
Machine learning
Stochastic gradient descent
Parallel computing
Christopher Re

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Synced Tradition and Machine Learning Series | Part 2: Optimization Basics

Added to Collection on: 2021-01-23 14:26:15

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Numerical analysis
Algorithms
Fields of mathematics
Gradient descent
Mathematical optimization
Descent direction
Gauss–Newton algorithm
Stochastic gradient descent
Line search
Subgradient method
Conjugate gradient method

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Guide To The Latest AdaBelief Optimizer for Machine/Deep learning

Added to Collection on: 2021-01-25 06:33:45

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Artificial intelligence
Learning
Deep learning
Artificial neural networks
Applied machine learning
Free statistical software
Machine learning
Stochastic gradient descent
PyTorch
Mathematical optimization
Keras
TensorFlow
Adam Optimizer

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Reptile: OpenAI's Latest Meta-Learning Algorithm

Added to Collection on: 2021-04-20 09:33:45

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Artificial intelligence
Machine learning
Articles
Education
Computational statistics
Learning
Meta learning
Training, validation, and test sets
Stochastic gradient descent
OpenAI
Artificial neural network
Reinforcement learning

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A beginner's guide to stochastic gradient descent from scratch - Analytics India Magazine

Added to Collection on: 2022-03-13 04:40:25

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Numerical analysis
Algorithms
Fields of mathematics
Stochastic optimization
Computational statistics
Machine learning algorithms
Mathematical optimization
Convex optimization
Stochastic gradient descent
Gradient descent
Artificial neural network
Stochastic approximation

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Crash Course: Neural Networks Part 4: Learning with Backpropagation - DataDrivenInvestor

Added to Collection on: 2022-08-07 04:42:30

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Artificial neural networks
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Applied mathematics
Algorithms
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Stochastic optimization
Backpropagation
Stochastic gradient descent
Gradient descent
Learning rule

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Tuning Adam Optimizer Parameters in PyTorch - KDnuggets

Added to Collection on: 2022-12-15 13:19:34

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Artificial intelligence
Machine learning
Numerical analysis
Fields of mathematics
Model selection
Computational statistics
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Learning rate
Stochastic gradient descent
Mathematical optimization
Gradient descent
Artificial neural network
Adam

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New Insights into Backpropagation part3(Machine Learning) - Monodeep Mukherjee

Added to Collection on: 2024-02-29 17:35:09

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Convex optimization
Mathematical optimization
Machine learning algorithms
Stochastic optimization
Gradient descent
Dynamic mode decomposition
Regularization
Stochastic gradient descent
Deep learning

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Working with Natural Gradients part6(Machine Learning 2024) - Medium

Added to Collection on: 2024-04-17 19:01:50

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Computational statistics
Stochastic optimization
Mathematical optimization
Convex optimization
Machine learning algorithms
Stochastic gradient descent
Gradient descent
Reinforcement learning
Gradient method
Neural network
Hessian matrix

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