Deep Learning for Computer Vision - Justin Johnson

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Lecture 1 - Introduction to Deep Learning for Computer Vision-dJYGatp4SvA.mp4152.74MB
Lecture 10 - Training Neural Networks I-lGbQlr1Ts7w.mp4160.20MB
Lecture 11 - Training Neural Networks II-WUazOtlti0g.mp4201.15MB
Lecture 12 - Recurrent Networks-dUzLD91Sj-o.mp4187.66MB
Lecture 13 - Attention-YAgjfMR9R_M.mp4160.03MB
Lecture 14 - Visualizing and Understanding-G1hGwHVykDU.mp4208.89MB
Lecture 15 - Object Detection-TB-fdISzpHQ.mp4189.19MB
Lecture 16 - Detection and Segmentation-9AyMR4IhSWQ.mp4187.86MB
Lecture 17 - 3D Vision-S1_nCdLUQQ8.mp4171.36MB
Lecture 18 - Videos-A9D6NXBJdwU.mp4200.54MB
Lecture 19 - Generative Models I-Q3HU2vEhD5Y.mp4168.72MB
Lecture 2 - Image Classification-0nqvO3AM2Vw.mp4168.18MB
Lecture 20 - Generative Models II-igP03FXZqgo.mp4196.41MB
Lecture 21 - Reinforcement Learning-Qex3XzcFKP4.mp4166.63MB
Lecture 22 - Conclusion-s3Ky_Ls4YSY.mp4170.35MB
Lecture 3 - Linear Classifiers-qcSEP17uKKY.mp4180.09MB
Lecture 4 - Optimization-YnQJTfbwBM8.mp4147.95MB
Lecture 5 - Neural Networks-g6InpdhUblE.mp4131.26MB
Lecture 6 - Backpropagation-dB-u77Y5a6A.mp4186.00MB
Lecture 7 - Convolutional Networks-ANyxBVxmdZ0.mp4150.73MB
Lecture 8 - CNN Architectures-XaZIlVrIO-Q.mp4174.29MB
Lecture 9 - Hardware and Software-oXPX8GIOiU4.mp4156.48MB
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