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Title: Quickstart

Description: DiffSharp is a tensor library with support for differentiable programming. It is designed for use in machine learning, probabilistic programming, optimization and other domains.

direct link

Domain: diffsharp.github.io

authorAtılım Güneş Baydin, Don Syme, Barak A. Pearlmutter, Jeffrey Siskind, and DiffSharp contributors

Links:

https://diffsharp.github.io/index.html
Homehttps://diffsharp.github.io/index.html
GitHubhttps://github.com/DiffSharp/DiffSharp/
License (BSD)https://github.com/DiffSharp/DiffSharp/blob/dev/LICENSE
Installhttps://diffsharp.github.io/install.html
Quickstarthttps://diffsharp.github.io/quickstart.html
More Exampleshttps://github.com/DiffSharp/DiffSharp/tree/dev/examples
API Referencehttps://diffsharp.github.io/reference/index.html
Extensionshttps://diffsharp.github.io/extensions.html
https://colab.research.google.com/github/DiffSharp/diffsharp.github.io/blob/master/quickstart.ipynb
https://mybinder.org/v2/gh/diffsharp/diffsharp.github.io/master?filepath=quickstart.ipynb
https://diffsharp.github.io/quickstart.fsx
https://diffsharp.github.io/quickstart.ipynb
Quickstarthttps://diffsharp.github.io/quickstart.html#Quickstart
PyTorchhttps://pytorch.org/
Datasets and Data Loadershttps://diffsharp.github.io/quickstart.html#Datasets-and-Data-Loaders
Datasethttps://diffsharp.github.io/reference/diffsharp-data-dataset.html
DataLoaderhttps://diffsharp.github.io/reference/diffsharp-data-dataloader.html
minibatcheshttps://en.wikipedia.org/wiki/Stochastic_gradient_descent#Iterative_method
DiffSharp.Datahttps://diffsharp.github.io/reference/diffsharp-data.html
Datasetshttps://diffsharp.github.io/quickstart.html#Datasets
MNISThttps://diffsharp.github.io/reference/diffsharp-data-mnist.html
CIFAR10https://diffsharp.github.io/reference/diffsharp-data-cifar10.html
CIFAR100https://diffsharp.github.io/reference/diffsharp-data-cifar100.html
TensorDatasethttps://diffsharp.github.io/reference/diffsharp-data-tensordataset.html
ImageDatasethttps://diffsharp.github.io/reference/diffsharp-data-imagedataset.html
MNISThttp://yann.lecun.com/exdb/mnist/
Data Loadershttps://diffsharp.github.io/quickstart.html#Data-Loaders
Modelshttps://diffsharp.github.io/quickstart.html#Models
gradient-based optimizationhttps://en.wikipedia.org/wiki/Gradient_descent
DiffSharp.Modelhttps://diffsharp.github.io/reference/diffsharp-model.html
Constructing models, PyTorch stylehttps://diffsharp.github.io/quickstart.html#Constructing-models-PyTorch-style
PyTorchhttps://pytorch.org/
generative adversarial network (GAN)https://arxiv.org/abs/1406.2661
Constructing models, DiffSharp stylehttps://diffsharp.github.io/quickstart.html#Constructing-models-DiffSharp-style
functional programminghttps://en.wikipedia.org/wiki/Functional_programming
higher-order functionshttps://en.wikipedia.org/wiki/Higher-order_function
lambda calculushttps://en.wikipedia.org/wiki/Lambda_calculus
differential calculushttps://en.wikipedia.org/wiki/Differential_calculus

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