| Lecture ID | Speaker | Topic | Lecture Slides | Youtube Link | References |
|---|---|---|---|---|---|
| 1 | Arnav Bhavsar | Deep Learning: Introduction and Overview | Lecture Slides | Updating Soon... |
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| 2. | Dr. Dileep | Introduction to Pattern Analysis & Machine Learning | Lecture Slides Unavailable | Updating Soon... |
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| 3. | Dr. Kamlesh Tiwari | Introduction to Perceptron | Lecture Slides | Updating Soon... |
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| 4. | Dr. Aditya Nigam | Intuition Of Neural Networks | Lecture Slide_1 Lecture Slide_2 |
Updating Soon... |
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| 5. | Dr. Aditya Nigam | Fully Connected Layer and CNN | Lecture Slides | Updating Soon... |
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| 6. | Dr. Aditya Nigam | Convolutional Neural Networks | Lecture Slides | Updating Soon... |
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| 7. | Dr. Aditya Nigam | Object Detection and Localization | Lecture Slides | Updating Soon... |
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| 8. | Dr. Kamlesh Tiwari | Sequence Modelling and RNN | Lecture Slides | Updating Soon... |
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| 9. | Dr. Aditya Nigam | GAN's | Lecture took place at Prashar Lake. Slides Unavailable | Lecture took place at Prashar Lake. Videos Unavailable | Updating Soon... |
| 10. | Dr. Aditya Nigam | Variational Auto Encoder | Lecture Slides | Updating Soon... |
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| 11. | Dr. Aditya Nigam | GAN's | Lecture Slides | Updating Soon... |
About the Workshop
Manas Group IIT Mandi and BITS Pilani are proud to announce Workshop on Applied Deep Learning (WADL-2019) at IIT Mandi Himachal Pradesh during July 1-5, 2019. The workshop targets motivated scholars at undergraduate/master/PhD level and faculty members who want to pursue work in the area of advanced machine learning. Workshop will have intense lectures and hands-on sessions on both basic and advanced topics. The aim is to give exposure to recent advances in the area of deep learning to the participants.
For Workshop poster, please visit here
The definite schedule will be posted soon.
Free Courseware
A short lecture series on Autoencoder and Variational Autoencoder
Lecture notes can be downloaded here
Objective and Scope
Due to the recent drift of technology and enhanced computation power (using GPU’s) this new paradigm of deep learning based architectures got extensively explored. These architectures have been exploited by all communities to solve almost all types of computer vision as well as image processing problems.
Algorithms have to be implemented over GPU enabled systems, so as to be optimized over very high dimensional parametric space. Recently, in all top-tier conferences like CVPR, ECCV, ICCV, NIPS, ICLR huge amount of work has been presented to exploit the power of CNN, RNN, Autoencoders, GAN's and other related deep learning architecture to solve problem in the domain of Computer Vision, Image Processing, Speech Processing, NLP etc. This will be a practical oriented workshop which will cover extensive hands-on sessions on Deep Learning.
Speakers
Dr. Vishnu Boddeti
Michigan State University
Dr. Aditya Nigam
IIT Mandi
Dr. Kamlesh Tiwari
BITS, Pilani
Dr. Arnav Bhavsar
IIT Mandi
Dr. Dileep A.D
IIT Mandi
Important Dates
| Early Registration | 25 May 2019 |
| Late Registration | 10 June 2019 |
| Workshop Dates | 1-5 July 2019 |
Registration
| Early Registration | Late Registration | |
|---|---|---|
| Regular Students | Rs. 10000 | Rs. 14000 |
| Faculty Member | Rs. 12000 | Rs. 16000 |
| Industry Participants | Rs. 14000 | Rs. 18000 |
| International Participants | USD 400 | USD 500 |
Registration will include food and hostel accommodation. Food will be available in mess
In campus accommodation would preferably be on shared basis.
Registration will also include food and will be available in mess.
Frequently Ask Questions
How to register?
Please pay registration fee through bank transfer using the account details given below:
Name of Account:IIT Mandi SRIC Extension Activities
Bank Account No.: 7315000100034369
Bank Name: Punjab National Bank
Bank Address: PNB, IIT Kamand, Mandi, HP-175005
IFSC Code: PUNB0731500
PFMS: IITMANDI
The bank details are enclosed here.