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10. Convolution, Cross Correlation, CNN Architecture, MLP vs CNN, some example of CNN, Transfer Learning

11. Vanishing and Exploding Gradient, Googlenet, Resnet, Optimiser

12. Normalization, Training Trick, Regulization and Early Stopping

13. Face Recognition, Deconvolution Layer and Semantic segmentation

14. Image Denoising, Variational Autoencoder and Generative adverserial network

15. Assignments

1. Inroduction and Feature Descriptor

Deep Learning IIT KGP Course through Blog

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