File:DNC training recall task.gif
From HandWiki
Size of this preview: 800 × 400 pixels. Other resolution: 919 × 459 pixels.
Original file (919 × 459 pixels, file size: 8.21 MB, MIME type: image/gif, looped, 106 frames, 5.3 s)
Note: Due to technical limitations, thumbnails of high resolution GIF images such as this one will not be animated.
Summary
Submitted to commons.wikimedia.org
Licensing
This file is licensed under the Attribution-Share Alike 3.0 Unported (CC BY-SA 3.0) license. You are free:
- to share – to copy, distribute and transmit the work
- to remix – to adapt the work
Under the following conditions:
- attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- share alike – If you remix, transform, or build upon the material, you must distribute your contributions under the same or compatible license as the original.
File history
Click on a date/time to view the file as it appeared at that time.
Date/Time | Thumbnail | Dimensions | User | Comment | |
---|---|---|---|---|---|
current | 01:03, 4 October 2022 | 919 × 459 (8.21 MB) | Maintenance script (talk | contribs) | == Summary == Submitted to commons.wikimedia.org == Licensing == {{CC BY-SA 3.0}} |
You cannot overwrite this file.
File usage
The following 2 files are duplicates of this file (more details):
- File:DNC training recall task.gif from a shared repository
- File:DNC training recall task.gif from Wikimedia Commons
More than 100 pages use this file. The following list shows the first 100 pages that use this file only. A full list is available.
- 15.ai
- Action selection
- Activation function
- Adversarial machine learning
- AlexNet
- AlphaFold
- AlphaGo
- AlphaZero
- Artificial Intelligence Cold War
- Artificial neural network
- Attention (machine learning)
- Autoencoder
- Automated machine learning
- Automatic differentiation
- Autoregressive model
- BERT (language model)
- Backpropagation
- Batch normalization
- CIFAR-10
- Cluster analysis
- Computational learning theory
- Computational science
- Computer vision
- Conference on Neural Information Processing Systems
- Convolution
- Convolutional neural network
- Data augmentation
- Deep learning
- Deep learning speech synthesis
- Deepfake
- Differentiable function
- Differentiable neural computer
- Differentiable programming
- Diffusion process
- Echo state network
- Explainable artificial intelligence
- Facial recognition system
- Feedforward neural network
- Generalization error
- Generative adversarial network
- Glossary of artificial intelligence
- Gradient descent
- Hopfield network
- Human image synthesis
- Hyperparameter (machine learning)
- Hyperparameter optimization
- ImageNet
- Journal of Machine Learning Research
- Julia (programming language)
- Layer (deep learning)
- List of datasets for machine-learning research
- Long short-term memory
- Loss function
- Loss functions for classification
- MNIST database
- Machine learning
- Machine learning in bioinformatics
- MuZero
- Multi-armed bandit
- Multilayer perceptron
- Neural Turing machine
- Neural architecture search
- Neural machine translation
- Neuromorphic engineering
- OpenAI Five
- Optical character recognition
- Optical neural network
- Outline of machine learning
- Overfitting
- Pattern recognition
- Perceptron
- Project Debater
- Python (programming language)
- Q-learning
- Rectifier (neural networks)
- Recurrent neural network
- Regression analysis
- Regularization (mathematics)
- Reinforcement learning
- Sigmoid function
- Softmax function
- Speech recognition
- State-space representation
- State–action–reward–state–action
- Statistical learning theory
- Statistical manifold
- Stochastic gradient descent
- Supervised learning
- Synthetic media
- Tensor calculus
- Training, validation, and test data sets
- Training, validation, and test sets
- Transformer (machine learning model)
- Universal approximation theorem
- Unsupervised learning
- Variational autoencoder
- Vision processing unit
- WaveNet
- Weak supervision
- Word2vec
View more links to this file.