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课程目录8 E( O: Y; m% m, G* f+ c
CS231n Winter 2016 Lecture 1 Introduction and Historical Context.mp4
4 x f) g* e1 {- sCS231n Winter 2016 Lecture 2 Data-driven approach kNN Linear Classification 1.mp4/ ~9 h. ?! S8 [' L2 J2 d
CS231n Winter 2016 Lecture 3 Linear Classification 2 Optimization.mp4# }% {* k+ ?- F# V) o1 k
CS231n Winter 2016 Lecture 4 Backpropagation Neural Networks 1.mp4
t" T* z: `8 I; H. [. ECS231n Winter 2016 Lecture 5 Neural Networks Part 2.mp4
, G8 c! t x; @+ A/ gCS231n Winter 2016 Lecture 6 Neural Networks Part 3 Intro to ConvNets.mp4
" P3 v7 E, j: c; O5 l7 GCS231n Winter 2016 Lecture 7 Convolutional Neural Networks.mp4
* T% {* i- X! S7 h {. oCS231n Winter 2016 Lecture 8 Localization and Detection.mp4# I' V( s7 B& q* {/ G4 Q$ h
CS231n Winter 2016 Lecture 9 Visualization Deep Dream Neural Style Adversarial Examples.mp4% _9 g' e: g. E, i4 L& i
CS231n Winter 2016 Lecture 10 Recurrent Neural Networks Image Captioning LSTM.mp4
2 q6 A) v( O5 r6 tCS231n Winter 2016 Lecture 11 ConvNets in practice.mp47 O. T* E7 N. }& E0 v
CS231n Winter 2016 Lecture 12 Deep Learning libraries.mp4: F A5 n7 y Q3 ^" k3 K
CS231n Winter 2016 Lecture 13 Segmentation soft attention spatial transformers.mp4
. z& T$ `+ E* {" B$ u+ sCS231n Winter 2016 Lecture 14 Videos and Unsupervised Learning.mp4
8 |+ f! b; N! ]( @5 UCS231n Winter 2016 Lecture 15 Invited Talk by Jeff Dean.mp4# j; ]. j2 E$ O9 B' H1 s
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发表于 2022-6-15 08:18:01
