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chapter_02_preliminaries | 1 year ago | |
chapter_03_linear-networks | 1 year ago | |
chapter_04_multilayer-perceptrons | 1 year ago | |
chapter_05_deep-learning-computation | 1 year ago | |
chapter_06_convolutional-neural-networks | 1 year ago | |
chapter_07_convolutional-modern | 1 year ago | |
chapter_08_recurrent-neural-networks | 1 year ago | |
chapter_09_recurrent-modern | 1 year ago | |
chapter_10_attention_mechanisms | 1 year ago | |
chapter_11_optimization | 1 year ago | |
chapter_12_computational-performance | 1 year ago | |
chapter_13_chapter_computer-vision | 1 year ago | |
chapter_13_computer-vision | 1 year ago | |
chapter_14_natural_language_processing_pretraining | 1 year ago | |
chapter_15_natural_language_processing_applications | 1 year ago | |
d2l | 1 year ago | |
img | 2 years ago | |
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requirements.txt | 2 years ago |
This is a unofficial implementation of "Dive Into Deep Learning" for MindSpore users to get start of deep learning easily. The codes are jupyter notebook on nvidia GPU based on MindSpore 1.5.
git clone https://github.com/lvyufeng/d2l-mindspore
cd d2l-mindspore
pip install -r requirements.txt
cd d2l-mindspore
jupyter lab
# use `jupyter lab --allow-root` if you use root
You can find the chinese version on Bilibili, 动手学深度学习Pytorch版.
I sincerely hope you use this repository after watching the video.
If you need extra resources to learn MindSpore or study Deep Learning with MindSpore, please check the resources list above, or submit a issue to leave your requirements.
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Jupyter Notebook Python
Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》