GitHub

TensorFlow Tutorial and Examples for beginners

This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and source codes with explanation, for ...
GitHub

An end to end tutorial of a machine learning pipeline

This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial which teaches you how to "Train your own neural network" or "Learn deep ...
搜狐

C# 深度学习框架 TorchSharp 原生训练模型和图像识别

本章内容主要基于 Pytorch 官方入门教程编写，使用 C# 代码代替 Python，主要内容包括处理数据、创建模型、优化模型参数、保存模型、加载模型，读者通过本章内容开始了解 TorchSharp 框架的使用方法。 首先添加以下代码，查找最适合当前设备的工作方式，主要是 ...
搜狐

人工智能经典案例 | MNIST手写体识别（附教学PPT）

来源于谷歌的TensorFlow是目前Python编程领域最热门的深度学习框架。Google不仅是大数据和云计算的领导者，在机器学习和深度学习上也有很好的实践和积累，在2015年年底开源了内部使用的深度学习框架TensorFlow。 与Caffe、Theano、Torch、MXNet等框架相比，TensorFlow在 ...
Frontiers

SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One ...

Application of deep convolutional spiking neural networks (SNNs) to artificial intelligence (AI) tasks has recently gained a lot of interest since SNNs are hardware-friendly and energy-efficient.
The Earth Institute Columbia University

Wasserstein Generative Adversarial Networks (WGANs) Part 1: An Introduction

Since its inception in 2014 by Goodfellow et al, generative adversarial networks (GANs) have taken the research community by storm. The business for improving GANs has grown to a point where papers on ...