Neural Network

Neural Network项目是以学习、交流神经网络基础知识为目的的开源项目。该项目结合了《Neural Network and Deep Learning》《动手学深度学习》《Deedp Learning》等书籍或教程所讲的知识和源代码，加上作者在此基础上根据理解和经验做出的一点丰富和注释，将神经网络的基础知识做了一个直观展示和讨论。
本项目内容涵盖MLP、CNN、RNN、计算机视觉、transformer、bert等神经网络的演进框架，包括各个框架的基础实现和应用示例。

Table of Contents

1. MLP

• dropout_pytorch.ipynb
• fashion_mnist_pytorch.ipynb
• fitting_pytorch.ipynb
• gpu_pytorch.ipynb
• initnet_pytorch.ipynb
• mnist_cross-entropy.ipynb
• mnist_pytorch.ipynb
• mnist_sigmoid.ipynb
• mnist_tensorflow.ipynb
• parameter_pytorch.ipynb
• weight_decay_pytorch.ipynb

2. CNN

• AlexNet.ipynb
• BN.ipynb
• CNN-Explainer.html
• cnn.ipynb
• DenseNet.ipynb
• GoogLeNet.ipynb
• imgaug.html
• LeNet.ipynb
• NiN.ipynb
• ResNet.ipynb
• VGG.ipynb

3. RNN

• dataset.ipynb
• GRU.ipynb
• LSTM,.ipynb
• RNN_pytorch.ipynb
• RNN.ipynb
• seq.ipynb
• text.ipynb
• transfer.ipynb

4. computer_vision

• anchor_box.ipynb
• FCN.ipynb
• fine_tuning.ipynb
• image_ augmentation.ipynb
• object_recognition.ipynb
• style_transfer.ipynb

5. transformers

• bertviz.ipynb
• GloVe.ipynb
• natural_language_inference_attention.ipynb
• natural_language_inference_bert.ipynb
• natural_language_inference_SNLI.ipynb
• pretrain_bert_datasets.ipynb
• pretrain_bert.ipynb
• sentiment_analysis_BiRNN.ipynb
• sentiment_analysis_CNN.ipynb
• sentiment_analysis_datasets.ipynb
• transformer.ipynb
• word2vec.ipynb

6. tools

• tool_pytorch_017.py

Getting Started

$ git clone https://github.com/Vincent-Yu-83/neural_network.git
$ pip install jupyterlab
$ pip install ipykernel
$ pip install pytorch

Dependencies

• Python 3.8
• PyTorch 2.2.2