2019李宏毅深度学习课程

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课程名称: 2019李宏毅深度学习课程

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课程简介:   

2019李宏毅深度学习课程

课程目录：  

        P10ML Lecture 5_ Logistic Regression.mp4

        P11ML Lecture 6_ Brief Introduction of Deep Learning.mp4

        P12ML Lecture 7_ Backpropagation.mp4

        P13Anomaly Detection (1_7).mp4

        P13Anomaly Detection (2_7).mp4

        P13Anomaly Detection (3_7).mp4

        P13Anomaly Detection (4_7).mp4

        P13Anomaly Detection (5_7).mp4

        P13Anomaly Detection (6_7).mp4

        P13Anomaly Detection (7_7).mp4

        P14ML Lecture 10_ Convolutional Neural Network.mp4

        P15ML Lecture 8-1_ “Hello world” of deep learning.mp4

        P16ML Lecture 8-2_ Keras 2.0.mp4

        P17ML Lecture 8-3_ Keras Demo.mp4

        P18Attack ML Models (1_8).mp4

        P18Attack ML Models (2_8).mp4

        P18Attack ML Models (3_8).mp4

        P18Attack ML Models (4_8).mp4

        P18Attack ML Models (5_8).mp4

        P18Attack ML Models (6_8).mp4

        P18Attack ML Models (7_8).mp4

        P18Attack ML Models (8_8).mp4

        P19ML Lecture 9-1_ Tips for Training DNN.mp4

        P1ML Lecture 1_ Regression - Case Study.mp4

        P20ML Lecture 9-2_ Keras Demo 2.mp4

        P21ML Lecture 9-3_ Fizz Buzz in Tensorflow (sequel).mp4

        P22Explainable ML (2_8).mp4

        P22Explainable ML (3_8).mp4

        P22Explainable ML (4_8).mp4

        P22Explainable ML (5_8).mp4

        P22Explainable ML (6_8).mp4

        P22Explainable ML (7_8).mp4

        P22Explainable ML (8_8).mp4

        P22ExplainableML.mp4

        P23ML Lecture 21-1_ Recurrent Neural Network (Part I).mp4
        P23ML Lecture 21-2_ Recurrent Neural Network (Part II).mp4
        P24Ordered (?永松).mp4
        P25ML Lecture 22_ Ensemble.mp4
        P28Life Long Learning (1_7).mp4
        P29Sequence-to-sequence Learning.mp4
        P2ML Lecture 3-1_ Gradient Descent.mp4
        P30Meta Learning ? MAML (1_9).mp4
        P30Meta Learning ? MAML (2_9).mp4
        P30Meta Learning ? MAML (3_9).mp4
        P30Meta Learning ? MAML (4_9).mp4
        P30Meta Learning ? MAML (5_9).mp4
        P30Meta Learning ? MAML (6_9).mp4
        P30Meta Learning ? MAML (7_9).mp4
        P30Meta Learning ? MAML (8_9).mp4
        P30Meta Learning ? MAML (9_9).mp4
        P31ML Lecture 13_ Unsupervised Learning - Linear Methods.mp4
        P32ML Lecture 14_ Unsupervised Learning - Word Embedding.mp4
        P33ML Lecture 15_ Unsupervised Learning - Neighbor Embedding.mp4
        P34Meta Learning - Gradient Descent as LSTM (1_3).mp4
        P34Meta Learning - Gradient Descent as LSTM (2_3).mp4
        P34Meta Learning - Gradient Descent as LSTM (3_3).mp4

        P35Meta Learning ? Metric-based (1_3).mp4

        P35Meta Learning ? Metric-based (2_3).mp4

        P35Meta Learning ? Metric-based (3_3).mp4

        P36ML Lecture 16_ Unsupervised Learning - Auto-encoder.mp4

        P37ML Lecture 17_ Unsupervised Learning - Deep Generative Model (Part I).mp4

        P38ML Lecture 18_ Unsupervised Learning - Deep Generative Model (Part II).mp4

        P39More about Auto-encoder (1_4).mp4

        P39More about Auto-encoder (2_4).mp4

        P39More about Auto-encoder (3_4).mp4

        P39More about Auto-encoder (4_4).mp4

        P3ML Lecture 3-2_ Gradient Descent (Demo by AOE).mp4

        P40ML Lecture 23-1_ Deep Reinforcement Learning.mp4

        P41ML Lecture 23-2_ Policy Gradient (Supplementary Explanation).mp4

        P42ML Lecture 23-3_ Reinforcement Learning (including Q-learning).mp4

        P43Network Compression (1_6).mp4

        P43Network Compression (2_6).mp4

        P43Network Compression (3_6).mp4

        P43Network Compression (4_6).mp4

        P43Network Compression (5_6).mp4

        P43Network Compression (6_6).mp4

        P44GAN (Quick Review).mp4

        P45Transformer.mp4

        P46ELMO, BERT, GPT.mp4

        P47Flow-based Generative Model.mp4

        P4ML Lecture 3-3_ Gradient Descent (Demo by Minecraft).mp4

        P5ML Lecture 1_ Regression - Demo.mp4

        P6ML Lecture 0-2_ Why we need to learn machine learning_.mp4

        P7The Next Step for Machine Learning.mp4

        P8ML Lecture 2_ Where does the error come from_.mp4

        P9ML Lecture 4_ Classification.mp4

cerealfood

感谢楼主分享哇！

m904337

确实是难得好帖啊，顶先

bingshui

感谢宏胜资源网提供这么好的教程！

17855824199

正需要，支持楼主大人了！