This project forked from dragen1860/deep-learning-with-pytorch-tutorials
Deep Learning与PyTorch入门实战视频教程
Home Page: https://study.163.com/course/introduction/1208894818.htm
课程涵盖了人工智能的发展历程，基本的数学理论，线性回归，逻辑回归，梯度及梯度下降，损失函数，多分类问题，BatchNorm，卷积神经网络CNN/ResNet，循环神经网络RNN/LSTM，对抗生成网络GAN/WGAN等等，以及对应的PyTorch的实现方式讲解。 学完本课程，学员对当前深度学习的核心内容有了全面深刻的掌握，同时工程能力也得到极大的提升。
详情请前往：https://study.163.com/provider/480000001847407/index.htm?share=2&shareId=480000001847407
课程开发环境：
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React
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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