Credits

Online Resources

We have used huge amount of online resources for this course. All of them are the sole copyright holders of their material. Here we have refernced them with proper credits.

Students

All the TA's along with the crediting students helped alot to organize and structure this course.

Lecture Material

Study Material

Sr. No Lecture Topic Slides/Resources Link Reference Material
1 Course Outline
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2 Function Approximation
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3 Introduction to Deep Learning and Neural Networks
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A friendly introduction to Deep Learning and Neural Networks
4 Linear Model Regression
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Download Part2
5 How Does Deep Learning Work
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How Does Deep Learning Work?|Two Minute Papers
6 Perceptron
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Download Part2
7 Back Propagation
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Download Part2
Satish Kumar's PPT
8 Cost Function
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Download Part2
Download Part3
Download Part4
neural networks and deeplearning chapter1
neural networks and deeplearning chapter2
neural networks and deeplearning chapter3
9 Convolutional Neural Network
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Download Part2
VISUAL Multi-Layer NN
Gabor Realizations
CNN in web browser
10 Training Neural Networks
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11 RCNN
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11 YOLO: You Only Look Once
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11 Single Shot Mutibox Detector
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12 SegNet
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Link1
Link2
13 Autoencoder
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Auto Encoder
14 GAN's
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Download Part2
Link1
Link2
Link3
Link4
Link5
Link6
Link7
Link8
Link9
15 Understanding Neural Networks Through Deep Visualization
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Link1
Link2
Link3
Link4
Link5
16 Deep Convolutional Features For Iris Recognition
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17 DeepFace and FaceNet
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Link1
Link2
18 Host load prediction with (LSTM) long short-term memory in cloud computing
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19 Deep-TEN
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Deep-Encoding
20 Feature Transfer in CNN
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21 Pixel Recurrent Neural Networks
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22 3D Convolutional Networks
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23 End-to-End Spatial Transform Face Detection and Recognition
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