Shulou(Shulou.com)06/01 Report--

Today, I will talk to you about how to get started with PyTorch quickly and elegantly. Many people may not know much about it. In order to make you understand better, the editor has summarized the following contents for you. I hope you can get something from this article.

1 sample quick view of the sliding picture, take a look at it first.

The electronic version of the book and the official download address of the code are attached at the end of the article.

2PyTorch introduction

PyTorch is one of the hottest machine learning and deep learning frameworks developed by Facebook. It makes full use of the high performance of GPU to accelerate, has a good scalability, can give full play to the hardware performance of a single machine, but also can be easily extended to distributed systems.

Compared with Google's TensorFlow, PyTorch's dynamic computing graph model has more advantages and more Pythonic, and can be more perfectly integrated with Python data science ecosystem.

If you have a certain Numpy foundation, getting started with PyTorch is a minute-by-minute thing. In fact, many methods and parameter settings of PyTorch refer to NumPy. The previous article "10 lines of Python code to implement Tao Zhe Xuan's amazing mathematical formula" uses NumPy and PyTorch to implement the same algorithm, which can be compared.

In short, more and more people in academia and industry are using PyTorch for scientific research and practical deployment of deep learning models.

Yann LeCun Twitter strongly recommends the mechanism of deep learning and introduction to PyTorch tensor to represent real data machine learning with tensor.

Fitting data using neural network

A few cute pictures

After reading the above, do you have any further understanding of how to get started with PyTorch quickly and elegantly? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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