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       1、培訓過程中，如有部分內容理解不透或消化不好，可免費在以后培訓班中重聽；
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MLDS Lecture 1- Basic Structures for Deep Learning Models (Part I)
MLDS Lecture 1- Basic Structures for Deep Learning Models (Part I)
MLDS Lecture 2- Basic Structures for Deep Learning Models (Part II)
MLDS Lecture 2- Basic Structures for Deep Learning Models (Part II)
MLDS Lecture 3- Computational Graph & Backpropagation
MLDS Lecture 3- Computational Graph & Backpropagation
MLDS Lecture 4- Deep Learning for Language Modeling
MLDS Lecture 4- Deep Learning for Language Modeling
MLDS Lecture 5- Spatial Transformer Layer
MLDS Lecture 5- Spatial Transformer Layer
MLDS Lecture 6- Highway Network & Grid LSTM
MLDS Lecture 6- Highway Network & Grid LSTM
MLDS Lecture 7- Recursive Network
MLDS Lecture 7- Recursive Network
MLDS Lecture 8- Conditional Generation by RNN & Attention
MLDS Lecture 8- Conditional Generation by RNN & Attention
MLDS Lecture 9- Generative Adversarial Network
MLDS Lecture 9- Generative Adversarial Network
MLDS Lecture 10- Improved Generative Adversarial Network
MLDS Lecture 10- Improved Generative Adversarial Network