Dive into Deep Learning Notes

📘 This repository is for recording my notes and code while learning from the book Dive into Deep Learning.

📂 Contents

This repo is mainly for personal learning and practice, but feel free to explore and use it as reference.

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
BPETokenizer.py		BPETokenizer.py
Bahdanau_attention.py		Bahdanau_attention.py
Block.py		Block.py
CNN.py		CNN.py
CNN2.py		CNN2.py
CNN3.py		CNN3.py
Corona_NLP_train.csv		Corona_NLP_train.csv
DenseNet.py		DenseNet.py
Dropout.py		Dropout.py
Glove.py		Glove.py
GoogLeNet.py		GoogLeNet.py
LeNet_Modify.py		LeNet_Modify.py
Linear Regression.py		Linear Regression.py
MLP.py		MLP.py
NiN_Modify.py		NiN_Modify.py
Pooling Layer.py		Pooling Layer.py
RNN.py		RNN.py
RNN_Scratch.py		RNN_Scratch.py
Reading and Writing Files.py		Reading and Writing Files.py
ResNet.py		ResNet.py
Softmax Regression.py		Softmax Regression.py
VGG11.py		VGG11.py
Weight Decay.py		Weight Decay.py
Word2Vec.py		Word2Vec.py
additive_and_dot_product_attention.py		additive_and_dot_product_attention.py
attention_based_regression.py		attention_based_regression.py
ngram_analysis.py		ngram_analysis.py
onestep_vs_multistep_prediction.py		onestep_vs_multistep_prediction.py
readme.md		readme.md
skipgram_demo.py		skipgram_demo.py
word2vec_data_prep.py		word2vec_data_prep.py