Deep Learning Cs7015 Lec 11

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Deep Learning Cs7015 Lec 11 - Detailed Analysis & Overview

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Deep Learning(CS7015): Lec 11.1 The convolution operation

Deep Learning(CS7015): Lec 11.2 Relation between input size, output size and filter size

Deep Learning(CS7015): Lec 11.3 Convolutional Neural Networks

Deep Learning(CS7015): Lec 11.3 (Part-2) Convolutional Neural Networks (Contd.)

Deep Learning(CS7015): Lec 11.4 CNNs (success stories on ImageNet)

Deep Learning(CS7015): Lec 14.2 Long Short Term Memory(LSTM) and Gated Recurrent Units(GRUs)

Lecture 11 - Backprop & Improving Neural Networks | Stanford CS229: Machine Learning (Autumn 2018)

Deep Learning(CS7015): Lec 13.4 The problem of Exploding and Vanishing Gradients

Deep Learning(CS7015): Lec 4.3 Output functions and Loss functions

Deep Learning(CS7015): Lec 10.2 Distributed Representations of words

Deep Learning(CS7015): Lec 11.4 (Par-2) CNNs (success stories on ImageNet) (Contd.)

Deep Learning(CS7015): Lec 11.5 Image Classification continued (GoogLeNet and ResNet)