Linear Algebra
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Deep Learning

dive into deep learning 이라는 책을 이용해 딥러닝을 공부해 봅니다. 여기는 주로 개념적인 부분을 다루려고 노력하고 있고 코드는 다른 쪽을 할애해 구현해보도록 하겠습니다.
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dive into deep learning
🎽
Chapter 3. Linear Neural Networks
Linear Regression
Softmax
Classification
🎽
Chapter 3. Linear Neural Networks
Linear Regression
Softmax
Classification
🚚
Chapter 4. Multi-Layer Perceptron
MLP
Overfitting
Weight Decay
Dropout
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Chapter 4. Multi-Layer Perceptron
MLP
Overfitting
Weight Decay
Dropout
👨🏽‍🏫
Chapter 9. Modern Recurrent Neural Network
RNN
GRU
LSTM
Seq2Seq
👨🏽‍🏫
Chapter 9. Modern Recurrent Neural Network
RNN
GRU
LSTM
Seq2Seq

REFERENCE BOOK/Materials

Dive into Deep Learning - Dive into Deep Learning 0.17.2 documentation
Authors Amazon Senior Scientist Amazon Scientist CMU Assistant Professor Amazon Senior Principal Scientist Amazon VP/Distinguished Scientist Vol.2 Chapter Authors Framework Adaptation Authors IIT Roorkee Student PyTorch Adaptation Akuity Founding Engineer TensorFlow Adaptation You can modify the code and tune hyperparameters to get instant feedback to accumulate practical experiences in deep learning.
https://d2l.ai/
Deep-Learning-Paper-Review-and-Practice
ndb796
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