# DeepLearning

**Repository Path**: shieldforever/DeepLearning

## Basic Information

- **Project Name**: DeepLearning
- **Description**: 深度学习 CS231n课程学习 花书 吴恩达的深度学习课程 Tensorflow实战 经典论文研读
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2020-02-17
- **Last Updated**: 2021-08-18

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

![Hits](https://www.smirkcao.info/hit_gits/DeepLearning/README.md)
# Deep Learning

**深度学习**

* CS231n课程学习  
   1. [斯坦福CS231n](https://study.163.com/course/introduction/1003223001.htm)
   2. [官方翻译笔记](https://github.com/librauee/DeepLearning/tree/master/CS231_Documentary)
   3. [Homework](https://github.com/librauee/DeepLearning/tree/master/CS231_Assignment)
   
* 深度学习入门-基于Python的理论与实践
   1. 简单神经网络
   2. 误差反向传播算法
   3. 学习相关的技巧：参数更新，权重，正则化，超参验证等
   4. CNN
   

* Python神经网络编程
   1. [构建一个神经网络](https://github.com/librauee/DeepLearning/blob/master/neural_network.py)
   2. [利用神经网络辨认手写数字0-9](https://github.com/librauee/DeepLearning/blob/master/handwritten_recognition.py)

* [深度学习（花书）](https://github.com/exacity/deeplearningbook-chinese)

* 神经网络和深度学习-Ng
    1. [网易云课堂](https://mooc.study.163.com/learn/2001281002)
    2. [Neural Networks and Deep Learning](https://github.com/librauee/DeepLearning/tree/master/Ng_homework)
    * Week1　Introduction to deep learning
    * Week2　Neural Networks Basics
    * Week3　Shallow Neural networks
    * Week4　Deep Neural Networks

    3. Improving Deep Neural Networks
    * Week1　Practical aspects of Deep Learning(Initialization-Regularization-Gradient Checking)
    * Week2　Optimization algorithms
    * Week3　Hyperparameter tuning, Batch Normalization and Programming Frameworks

    4. Convolutional Neural Network
    * Week1　Foundations of Convolutional Neural Networks
    * Week2　Deep convolutional models: case studies
    * Week3　Object detection
    * Week4　Special applications: Face recognition & Neural style transfer

    5. Sequence Models
    * Week1　Recurrent Neural Networks
    * Week2　Natural Language Processing & Word Embeddings
    * Week3　Sequence models & Attention mechanism
* TensorFlow实战

* TensorFlow深度学习与编程实战

* [TensorFlow入门、原理与进阶实战](https://github.com/librauee/DeepLearning/tree/master/tensorflow_learning)