GitHub - qianwangn/Deep_Learning

Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
02 - Back Propagation Algorithm.pdf		02 - Back Propagation Algorithm.pdf
03 - Loss Function Deduction.pdf		03 - Loss Function Deduction.pdf
04 - Activation Functions.pdf		04 - Activation Functions.pdf
05 - Neural Network Training Methods.pdf		05 - Neural Network Training Methods.pdf
06 - Training Optimization Algorithms.pdf		06 - Training Optimization Algorithms.pdf
07 - Learning Rate Optimization Method.pdf		07 - Learning Rate Optimization Method.pdf
08 - Parameter Initialization Methods.pdf		08 - Parameter Initialization Methods.pdf
09 - Regularization Methods.pdf		09 - Regularization Methods.pdf
10 - Batched Normalization.pdf		10 - Batched Normalization.pdf
11 - AutoEnder & Stacked AutoEncoder.pdf		11 - AutoEnder & Stacked AutoEncoder.pdf
12 - Convolutional Neural Networks.pdf		12 - Convolutional Neural Networks.pdf
13 - Advanced CNN Algorithms.pdf		13 - Advanced CNN Algorithms.pdf
14 - Recurrent Neural Networks.pdf		14 - Recurrent Neural Networks.pdf
15 - LSTM Principle and Propagation Deduction.pdf		15 - LSTM Principle and Propagation Deduction.pdf
16 - Encoder-Decoder & Attention Mechanism.pdf		16 - Encoder-Decoder & Attention Mechanism.pdf
Deep Learning Book -Full.pdf		Deep Learning Book -Full.pdf
README.md		README.md

qianwangn/Deep_Learning_Course