Li宏毅机器2020完整视频+ppt+作业视频40_共：9.05GB
27158文件名称： Li宏毅机器2020完整视频+ppt+作业视频40_共：9.05GB
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文件创建时间： 2021-6-15 14:50:54
目录：【Li宏毅机器学习2020完整视频+ppt+作业】
目录：【Li宏毅机器学习2020完整视频+ppt+作业】
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20】
main_ihwang.css
HW.png
courses_ML20.html
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video】
names.txt
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/slides】
XAI(v7).pdf
word2vec(v2).pdf
Why.pdf
WGAN(v2).pdf
TSNE.pdf
transfer(v3).pdf
semi(v3).pdf
small(v6)_.pdf
rule.pdf
RNN(v2).pdf
RL(v6).pdf
Reward(v3).pdf
Regression.pdf
Recursive.pdf
QLearning(v2).pdf
PPO(v3).pdf
Pointer.pdf
PhotoEditing.pdf
PCA(v3).pdf
Meta2(v4).pdf
Meta1(v6).pdf
LogisticRegression(v3).pdf
Life龙Learning(v9).pdf
IRL(v2).pdf
introduction.pdf
GradientDescent(v2).pdf
GNN.pdf
GANtheory(v2).pdf
GANSeqNew.pdf
GANfeature.pdf
GANEvaluation.pdf
GAN(v2).pdf
fGAN.pdf
DNNtip.pdf
DL(v2).pdf
Detection(v9).pdf
CycleGAN.pdf
CNN.pdf
Classification(v3).pdf
CGAN.pdf
BP.pdf
BiasandVariance(v2).pdf
auto.pdf
Auto(v3).pdf
Attain(v5).pdf
Attack(v8).pdf
AC.pdf
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets】
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code】
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video/homework】
HW9_Unsupervised_Learning.flv
HW8_Seq2seq.flv
HW7_Network_Compression.flv
HW6_Adversarial_Attack.flv
HW5_Explainable.flv
HW4_RNN.flv
HW3_CNN.flv
HW2_Classification.flv
HW1_Regression.flv
HW15_Reinforcement_Learning.flv
HW14_Life-龙_Learning.flv
HW13_Meta_Learning_3.flv
HW13_Meta_Learning_2.flv
HW13_Meta_Learning_1.flv
HW12_Transfer_Learning.flv
HW11_GAN.flv
HW10_安omaly_Detection.flv
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video/extra】
graph_neural_network_2.mp4
graph_neual_network_1.flv
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/video/course】
P9_ML_Lecture_5_Logistic_Regression.flv
P8_作業二_ML_Lecture_4_Classification.flv
P81_DRL_Lecture_8_Imitation_Learning.flv
P80_DRL_Lecture_7_Sparse_Reward.flv
P7_ML_Lecture_3-3_Gradient_Descent_Demo_by_Minecraft.flv
P79_DRL_Lecture_6_Actor-Critic.flv
P78_DRL_Lecture_5_Q-learning_Continuous_Action.flv
P77_DRL_Lecture_4_Q-learning_Advanced_Tips.flv
P76_DRL_Lecture_3_Q-learning_Basic_Idea.flv
P75_DRL_Lecture_2__Proximal_Policy_Optimization_PPO.flv
P74_DRL_Lecture_1_Policy_Gradient_Review.flv
P73_ML_Lecture_23-3_Reinforcement_Learning_including_Q-learning.flv
P72_ML_Lecture_23-2_Policy_Gradient_Supplementary_Explanation.flv
P71_作業十五_ML_Lecture_23-1_Deep_Reinforcement_Learning.flv
P70_Life_龙_Learning_7_7.flv
P6_ML_Lecture_3-2_Gradient_Descent_Demo_by_AOE.flv
P69_Life_龙_Learning_6_7.flv
P68_Life_龙_Learning_5_7.flv
P67_Life_龙_Learning_4_7.flv
P66_Life_龙_Learning_3_7.flv
P65_Life_龙_Learning_2_7.flv
P64_作業十四_Life_龙_Learning_1_7.flv
P63_作業十三Introduction_of_Meta_Learning_.flv
P62_ML_Lecture_19_Transfer_Learning.mp4
P61_作業十二_ML_Lecture_12_Semi-supervised.flv
P60_GAN_Lecture_10_2018_Evaluation_Concluding_Remarks.flv
P5_Gradient_Descent_ML_Lecture_3-1_Gradient_Descent.flv
P59_GAN_Lecture_9_2018_Sequence_Generation.flv
P58_GAN_Lecture_8_2018_Photo_Editing.flv
P57_GAN_Lecture_7_2018_Info_GAN
P56_GAN_Lecture_6_2018_WGAN
P55_GAN_Lecture_5_2018_General_Framework.flv
P54_GAN_Lecture_4_2018_Basic_Theory.flv
P53_GAN_Lecture_3_2018_Unsupervised_Conditional_Generation.flv
P52_GAN_Lecture_2_2018_Conditional_Generation.flv
P51_作業十一_GAN_Lecture_1_2018_Introduction.flv
P50_安omaly_Detection_7_7.flv
P4_ML_Lecture_2_Where_does_the_error_come_from.flv
P49_安omaly_Detection_6_7.flv
P48_安omaly_Detection_5_7.flv
P47_安omaly_Detection_4_7.flv
P46_安omaly_Detection_3_7.flv
P45_安omaly_Detection_2_7.flv
P44_作業十_安omaly_Detection_1_7_.flv
P43_ML_Lecture_16_Unsupervised_Learning_Auto-encoder.flv
P42_ML_Lecture_15_Unsupervised_Learning_Neighbor_Embedding.flv
P41_作業九_ML_Lecture_13_Unsupervised_Learning_Linear_Methods.flv
P40_作業八_Conditional_Generation_by_RNN___Attention.flv
P3_作業一_ML_Lecture_1_Regression_Case_Study.flv
P39_Network_Compression_6_6.flv
P38_Network_Compression_5_6.flv
P37_Network_Compression_4_6.flv
P36_Network_Compression_3_6.flv
P35_Network_Compression_2_6.flv
P34_作業七_Network_Compression_1_6.flv
P33_Attack_ML_Models_8_8.flv
P32_Attack_ML_Models_7_8.flv
P31_Attack_ML_Models_6_8.flv
P30_Attack_ML_Models_5_8.flv
P2_Rule_of_ML_2020.flv
P29_Attack_ML_Models_4_8.flv
P28_Attack_ML_Models_3_8.flv
P27_Attack_ML_Models_2_8.flv
P26_作業六_Attack_ML_Models_1_8.flv
P25_Explainable_ML_8_8.flv
P24_Explainable_ML_7_8.flv
P23_Explainable_ML_6_8.flv
P22_Explainable_ML_5_8.flv
P21_Explainable_ML_4_8.flv
P20_Explainable_ML_3_8.flv
P1_Course_Introduction.flv
P19_Explainable_ML_2_8.flv
P18_作業五_Explainable_ML_1_8.flv
P17_ML_Lecture_21-2_Recurrent_Neural_Network_Part_II.flv
P16_作業四_ML_Lecture_21-1_Recurrent_Neural_Network_Part_I_.flv
P15_作業三_ML_Lecture_10_Convolutional_Neural_Network.flv
P14_ML_Lecture_9-3_Fizz_Buzz_in_Tensorflow_sequel.flv
P13_ML_Lecture_9-2_Keras_Demo_2.flv
P12_ML_Lecture_9-1_Tips_for_Training_DNN.flv
P11_ML_Lecture_7_Backpropagation.flv
P10_DL預備_ML_Lecture_6_Brief_Introduction_of_Deep_Learning.flv
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw9】
valY.npy
valX.npy
trainX.npy
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw8】
data.tar.gz
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw7】
student_custom_small.bin
food-11同hw3.txt
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw6】
data.zip
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw5】
food-11同hw3_.txt
checkpoint.pth
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw4】
data.zip
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw3】
food-11.zip
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw2】
data.tar.gz
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw13】
Omniglot.tar.gz
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw12】
real_or_drawing.zip
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw11】
crypko_data.zip
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw10】
train.npy
test.npy
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/datasets/hw1】
data.zip
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw9】
hw9_unsupervised.py
hw9_unsupervised.ipynb
hw9_slides.pptx
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw8】
hw8_slides.pptx
hw8_seq2seq.py
hw8_seq2seq.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw7】
hw7_weight_quantization.py
hw7_Weight_Quantization.ipynb
hw7_slides.pptx
hw7_network_pruning.py
hw7_Network_Pruning.ipynb
hw7_knowledge_distillation.py
hw7_Knowledge_Distillation.ipynb
hw7_architecture_design.py
hw7_Architecture_Design.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw6】
hw6_slides.pptx
hw6_adversarial_attack.py
hw6_adversarial_attack.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw5】
hw5_slide.pptx
hw5_colab.py
hw5_colab.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw4】
hw4_slides.pptx
hw4_rnn.py
hw4_RNN.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw3】
hw3_slides.pptx
hw3_cnn.py
hw3_CNN.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw2】
hw2_slides.pptx
hw2_classification.py
hw2_classification.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw15】
hw15_slides.pptx
hw15_reinforcement_learning.py
hw15_reinforcement_learning.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw14】
hw14_slides.pptx
hw14_life_龙_learning.py
hw14_life_龙_learning.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw13】
hw13_slides.pptx
hw13_meta_regression.py
hw13_meta_regression.ipynb
hw13_meta_omniglot.py
hw13_meta_omniglot.ipynb
hw13_2.pptx
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw12】
hw12_slides.pptx
hw12_domain_adaptation.py
hw12_domain_adaptation.ipynb
目录：【Li宏毅机器学习2020完整视频+ppt+作业/LeeML20/code/hw11】
hw11_slides.pptx
hw11_gan.py
hw11_GAN.ipynb
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