【免费】FL008 – 人工智能前沿系列之生成式对抗网络 [3.7G]

【免费】FL008 – 人工智能前沿系列之生成式对抗网络 [3.7G]
┣━━00.预习资料 [19.5M]
┃ ┣━━Deep Generative Image Models.pdf [5M]
┃ ┣━━Generative Adversarial Nets.pdf [518K]
┃ ┣━━Generative Adversarial Text to Image Synthesis.pdf [2.4M]
┃ ┣━━Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial.pdf [4.5M]
┃ ┗━━UNSUPERVISED REPRESENTATION LEARNING.pdf [7.1M]
┣━━01.第一课 [359.5M]
┃ ┣━━GAN01.pdf [1.4M]
┃ ┣━━GAN01.rar [353.2M]
┃ ┗━━lecture_博弈论.pdf [4.9M]
┣━━02.第二课 [884.4M]
┃ ┣━━令人拍案叫绝的Wasserstein GAN.pdf [718.4K]
┃ ┣━━A guide to convolution arithmetic for deep learning.pdf [858K]
┃ ┣━━GAN02.pdf [2.2M]
┃ ┣━━GAN02.rar [878.7M]
┃ ┣━━Semantic Image Inpainting with Perceptual and Contextual Losses.pdf [1.5M]
┃ ┗━━TOWARDS PRINCIPLED METHODS FOR TRAINING GENERATIVE ADVERSARIAL NETWORKS.pdf [552.9K]
┣━━03.第三课 [774.7M]
┃ ┣━━新建文件夹 [0B]
┃ ┣━━GAN03.pdf [2.7M]
┃ ┗━━GAN03.rar [771.9M]
┣━━04.第四课 [839.4M]
┃ ┣━━Conditional Generative Adversarial Nets.pdf [785.4K]
┃ ┣━━GAN04.pdf [3.4M]
┃ ┣━━GAN04.rar [819.1M]
┃ ┣━━InfoGAN.pdf [3.4M]
┃ ┣━━Learning Deep Representations of Fine-Grained Visual Descriptions.pdf [1.9M]
┃ ┣━━Learning What and Where to Draw.pdf [5.3M]
┃ ┣━━StackGAN Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks.pdf [5.4M]
┃ ┗━━The IM Algorithm A variational approach to Information Maximization.pdf [149.7K]
┣━━05.第五课 [925.6M]
┃ ┣━━GAN05.pdf [3.8M]
┃ ┗━━GAN05.rar [921.8M]
┗━━作业.txt [1.6K]

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