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Introduction to Deep Learning Using PyTorch

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发表于 2018-2-9 23:43:46 | 显示全部楼层 |阅读模式

Introduction to Deep Learning Using PyTorch
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1.5 Hours | 1.81 GB
Genre: eLearning | Language: English
This video will serve as an introduction to PyTorch, a dynamic, deep learning framework in Python. In this video, you will learn to create simple neural networks, which are the backbone of artificial intelligence. We will start with fundamental concepts of deep learning (including feed forward networks, back-propagation, loss functions, etc.) and then dive into using PyTorch tensors to easily create our networks. Finally, we will CUDA render our code in order to be GPU-compatible for even faster model training.
What you’ll learn—and how you can apply it
Deep learning basics and you can apply it to your domain (X + AI)
PyTorch platform basics and you can apply it to any deep learning problem
CUDA rendering, which will allow you to train your networks very quickly

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发表于 2018-2-10 07:12:16 | 显示全部楼层
佩服佩服!牛牛 感谢楼主
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发表于 2018-2-16 08:16:48 | 显示全部楼层
不错支持,支持 东西很值得!
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发表于 2018-3-14 15:21:31 | 显示全部楼层
牛牛 666。
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