Deep Learning Self-Study 2.0

deep learning self-study

learning path

The learning path recommended by others:
Quick start:
1. Theoretical basis: Wu Enda's machine learning and deep learning
2. Code basis: Python
3. Framework basis: pytorch
4. Building models: Thunderbolt/Bubbliiing/deep learning elk
Advanced:
1. Opencv digital image processing to consolidate the foundation of image processing
2. Hands-on deep learning Li Mu/css Stanford Li Feifei computer vision
3. Read a lot of papers + build improved models by yourself

getting Started

Ng Enda Deep Learning Ng Deep Learning

Thunderbolt Wz

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Origin blog.csdn.net/weixin_47441391/article/details/129436740