├── 01 - Introduction of Deep Learning.pdf ├── 02 - Back Propagation Algorithm.pdf ├── 03 - Training Optimization Algorithms.pdf ├── 04 - Training Methods & Learning Process.pdf ├── 05 - Activation Functions.pdf ├── 06 - Loss Functions.pdf ├── 07 - Parameter Initialization Methods.pdf ├── 08 - Learning Rate Optimization Methods.pdf ├── 09 - Regularization & Dropout.pdf ├── 10 - Data Preprocessing & Normalization.pdf ├── 11 - Covolutional Neural Network I.pdf ├── 12 - Convolutional Neural Network II.pdf ├── 13 - Recurrent Neural Network & LSTM.pdf ├── 14 - Encoder-Decoder & Attention Machanism.pdf ├── 15 - AutoEnder & Stacked AutoEncoder.pdf ├── Deep Learning Book -Full.pdf └── README.md /01 - Introduction of Deep Learning.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/01 - Introduction of Deep Learning.pdf -------------------------------------------------------------------------------- /02 - Back Propagation Algorithm.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/02 - Back Propagation Algorithm.pdf -------------------------------------------------------------------------------- /03 - Training Optimization Algorithms.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/03 - Training Optimization Algorithms.pdf -------------------------------------------------------------------------------- /04 - Training Methods & Learning Process.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/04 - Training Methods & Learning Process.pdf -------------------------------------------------------------------------------- /05 - Activation Functions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/05 - Activation Functions.pdf -------------------------------------------------------------------------------- /06 - Loss Functions.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/06 - Loss Functions.pdf -------------------------------------------------------------------------------- /07 - Parameter Initialization Methods.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/07 - Parameter Initialization Methods.pdf -------------------------------------------------------------------------------- /08 - Learning Rate Optimization Methods.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/08 - Learning Rate Optimization Methods.pdf -------------------------------------------------------------------------------- /09 - Regularization & Dropout.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/09 - Regularization & Dropout.pdf -------------------------------------------------------------------------------- /10 - Data Preprocessing & Normalization.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/10 - Data Preprocessing & Normalization.pdf -------------------------------------------------------------------------------- /11 - Covolutional Neural Network I.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/11 - Covolutional Neural Network I.pdf -------------------------------------------------------------------------------- /12 - Convolutional Neural Network II.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/12 - Convolutional Neural Network II.pdf -------------------------------------------------------------------------------- /13 - Recurrent Neural Network & LSTM.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/13 - Recurrent Neural Network & LSTM.pdf -------------------------------------------------------------------------------- /14 - Encoder-Decoder & Attention Machanism.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/14 - Encoder-Decoder & Attention Machanism.pdf -------------------------------------------------------------------------------- /15 - AutoEnder & Stacked AutoEncoder.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/15 - AutoEnder & Stacked AutoEncoder.pdf -------------------------------------------------------------------------------- /Deep Learning Book -Full.pdf: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ligechina/Deep_Learning_Course/e0ecdc78e65a7a6ec4a7eaeda75221661e52c51e/Deep Learning Book -Full.pdf -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | "Deep Learning Techniques and Applications" 2 | ,Ge Li 3 | ,Graduated Course 4 | ,Peking University 5 | --------------------------------------------------------------------------------