李宏毅2017深度学习课程

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〖课程目录〗:" b/ J) o8 f* k; [( L
        P1Review: 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. [5 L% S$ H8 O  I
        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

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李宏毅2017深度学习课程