李宏毅2017深度学习课程
〖课程目录〗:" b/ J) o8 f* k; [( LP1Review: Basic Structures for Deep Learning Models (Part I)
P2Review: Basic Structures for Deep Learning Models (Part II)7 K; I: F4 s4 r, }; b% Q2 G6 Y# d* A
P3Computational Graph & Backpropagation
P4Deep Learning for Language Modeling( T( s8 W3 H$ ^1 ]$ ]
P5Spatial Transformer Layer
P6Highway Network & Grid LSTM
P7Recursive Network* e3 b/ N?( J\
P8Conditional Generation by RNN & Attention
P9Pointer Network - YouTube (HD)
P10Batch Normalization# ~. [+ z7 d8 i1 q) z
P11SELU - YouTube (HD)
P12Capsule - YouTube (HD)
P13Tuning Hyperparameters - YouTube (HD)
P14Interesting things about deep learning - YouTube (HD)! h! I& `n% i% b6 D& q
P15Generative Adversarial Network, H.
P16Improved Generative Adversarial Network
P17RL and GAN for Sentence Generation and Chat-bot/ f5 t& r; _; O5 s
P18機械学習で美少女化 _ あるいはNEW GAME! の世界 - YouTube (HD)
P19Imitation Learning9 k; z9 B; G5 h. X$ b
P20Evaluation of Generative Models
P21Ensemble of GAN
P22Energy-based GAN
P23Video Generation by GAN
P24A3C5 I0 e: ~8 Q. ~8 g9 y/ |- d
P25Gated RNN and Sequence Generation (Reco
**** Hidden Message *****
李宏毅2017深度学习课程
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