Time | Topic |
---|---|
8 | Introduction to Deep Neural Networks |
8.30 | Convolution Networks |
9.30 | Lab: Image Classification with CNNs |
10.30 | Break |
10.45 | Inception Networks, Residual Networks |
11.15 | Lab: Transfer Learning for Image Classification |
12 | Lunch |
13 | Networks for Image Segmentation |
13.30 | Lab: Image Segmentation |
14.30 | Demo: Visual Search |
15.00 | Break |
15.15 | Generative Adversarial Networks |
16 | Lab: Image Synthesis with GANs |
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