Tensorflow and Keras for machine learning, deep learning

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Event address: CSDN 21-day Learning Challenge

1.Keras

• Official Chinese document, a deep learning front-end framework, designed to help you build deep learning applications easily and quickly
• For python language
• Today's Keras no longer supports multiple backends, but focuses on Tensorflow, you can from Tensorflow import Keras
• Environment configuration: Refer to this article

2.arXiv

• Pronunciation: archive
• Open access preprint server for physics, mathematics, computer science research papers
• Advantages: Updates are faster and more timely. In the fast-developing fields such as machine learning and deep learning, uploading success here is equivalent to planting a flag to mark the work that you have completed, so you don't have to wait for months.Acceptance Time
• Disadvantages: The above papers have not been peer-reviewed, and the level is uneven, making it difficult to screen out high-quality articles
• Secondary site: arXiv Sanity Preserver, new paper recommendation engine, here

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