# deep-learning-from-scratch

**Repository Path**: hl0929/deep-learning-from-scratch

## Basic Information

- **Project Name**: deep-learning-from-scratch
- **Description**: The Implementation of Deep Learning Algorithm from Scratch
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-10-29
- **Last Updated**: 2024-11-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# deep-learning-from-scratch

## 介绍
The Implementation of Deep Learning Algorithm from Scratch

## 模块

1. [Perceptron](./perceptron/README.md)
2. [Neural Network](./neural_network/README.md)
3. [Neural Network Learning](./nn_learning/README.md)
4. [Neural Network Error Back Propagation](./backpropagation/README.md)
5. [Neural Network Optimization](./nn_optimization/README.md)
6. [Convolutional Neural Network](./cnn/README.md)
7. [Deep Learning](./deep_learning/README.md)
8. [Distribution Representation of Words](./distribution_representation/README.md)

## 资源

1. [深度学习入门：基于Python的理论与实现](./assets/pdf/深度学习入门：基于Python的理论与实现.pdf)
2. [深度学习进阶：自然语言处理](./assets/pdf/深度学习进阶：自然语言处理.pdf)
2. [Deep Learning From Scratch - GitHub](https://github.com/oreilly-japan/deep-learning-from-scratch)
3. [CS231n: Deep Learning for Computer Vision](http://cs231n.stanford.edu/)
4. [CS224d: Deep Learning for Natural Language Processing]()
5. [Hacker's guide to Neural Networks](https://karpathy.github.io/neuralnets/)
6. [Understanding the backward pass through Batch Normalization Layer](https://kratzert.github.io/2016/02/12/understanding-the-gradient-flow-through-the-batch-normalization-layer.html)
7. [Practical Bayesian Optimization of Machine Learning Algorithms](https://arxiv.org/abs/1206.2944)
8. [What is the class of this image ?](https://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html)