AI and Deep Learning Workshops

These Workshops are being planned across India at different locations. We will keep on adding new dates and Venues for the workshops. To get continuous updates about new locations Subscribe Here

Workshops Announced Till Date

Rajkot, Gujarat

June 1, 2018 to June 3, 2018 (Contact Person and Venue Details)

Greater Noida, NCR, UP

June 5, 2018 to June 7, 2018 (Contact Person and Venue Details)

Guwahati, Assam

June 9, 2018 to June 11, 2018 (Contact Person and Venue Details)

Pune, Maharashtra

June 13, 2018 to June 15, 2018 (Contact Person and Venue Details)

Warangal, Telangana

June 17, 2018 to June 19, 2018 (Contact Person and Venue Details)

Chittoor District, Andhra Pradesh

June 21, 2018 to June 23, 2018 (Contact Person and Venue Details)

Kottayam, Kerala

June 25, 2018 to June 27, 2018 (Contact Person and Venue Details)

Bhimavaram, Andhra Pradesh

June 28, 2018 to June 30, 2018 (Contact Person and Venue Details)

Day 1

Session 1
9.00-11.00

Motivation
Foundations and Terminology of Deep Learning

Session 2
11.30-1.30

Machine Learning Basics
Linear Regression, Logistic Regression Gradient Descent
Session 3
2.15-4.00
Designing & Optimizing Neural Network Model
Building Deep Models and Hyperparameter Tuning
Session 4
4.30-6.30
Deep Learning Hacks
System/project level tricks and regularization strategies
Day 2
Session 1
9.00-11.00
Convolutional Neural Network
Computer Vision with CNNs
Session 2
11.30-1.30
Recurrent Neural Network
Sequence Modelling with RNNs
Session 3
2.15-4.00
Advanced Learning Topics
Autoencoders, generative modelling in Deep Learning
Session 4
4.30-6.30
Hands-On Labs followed by Assessment Test
Day 3 (NVIDIA DLI) Industry Professionals not allowed
9.00 to 9.45 Deep Learning Demystified
10.00 to 12.00 Image Classification with DIGITS (Lab)
1.00 to 3.00 Object Detection with DIGITS (Lab)
3.00 to 5.00 Neural Network Deployment with DIGITS and TensorRT (Lab)

Points to Note:

  1. Two day AI and Deep Learning Workshop followed by and One day NVIDIA DLI Labs are completely free for Collaborators(20 pax, Zonal Leads(5 pax), Basic partners(2 pax). All such faculty members also needs to register. They should contact their Instituion's Single point of contact for Coupon codes with 100% discount.
  2. Apart from those not being covered by Point one given above, For all other academic participants, the fee for the workshop is 6000 INR + 18% GST (Total 7080 INR). This Fees is only for two days of Deep Learning Workshop by leadingindia.ai initiative. NVIDIA DLI workshop will be given free to all such participants.
  3. For all Industry professionals the fee for the workshop is 6000 INR + 18% GST (Total 7080 INR). This Fees is only for two days of Deep Learning Workshop by leadingindia.ai initiative. They are not allowed to attend NVIDIA DLI workshops as per the Guidelines from our Industry collaborator.
  4. All who successfully register in a workshop will get a referral code. This referal code will be available in your dashboard. If five people use your referal code to do their workshop registration, then 5000 INR will be refunded to your account with in ten days of the date of use of referal code by fifth person. Your referal code can not be combined with the 100% discount voucher given at point no 1 above.
  5. If you have Used 100% discount code at point number 1 and your referal code is used by five people to do the paid registration of the workshop then you get 5000 INR in your acocunt with in ten days of the date of the fifth person using your referal code.
  6. For IEEE members, ACM Members, CSI Members, UG/PG/PhD students an for persons with a referral code there is a disount of 1000 INR on base fee, so it will come down to 5000+18%= 5900 INR. If you fall in more than one category (e.g You are a student and IEEE member), still the discount will remain the same i.e 1000 INR.
  7. All participants will get participation certificate, if they attend the respective workshops in Full. However, All those who clear the assessment test will receive the "successfully completed certificate". Assessment Test will consist of 30 Multiple Choice Questions and you need to answer atleast 15 questions correctly
  8. Working Lunch and Tea/Snacks in the morning and evening for all three days will be given without any additional cost.
  9. Stay arrangements differ at different locations depending upon the facility being given by the respective institution. You should check at the link given against each location.
  10. Registration link will start working from 21st May, 2018 6.00 PM.
  11. For NVIDIA DLI Workshop Ensure websockets runs smoothly on your laptop by going to http://websocketstest.com/ .Make sure that WebSockets work for the laptop by seeing under Environment, WebSockets is supported and Data Receive, Send and Echo Test all check Yes under WebSockets (Port 80). If there are issues with WebSockets, try updating browser or trying a different browser. The labs will not run without WebSockets support Best browsers for the labs are Chrome, FireFox and Safari. The labs will run in IE but it is not an optimal experience.
  12. All participants should bring their own laptops. It is not mandatory, but in case you dont have the laptop then you may not be able to do the hands on activity which will be done frequently on all three days of the workshop.
  13. Knowledge of one programming language is a prerequisite of the workshop and those who dont know any programming language should not attend the workshop.

Pre-requisite and Installation Instructions


Anaconda 5.1 - Python Version 3.6 You can Download it from the link freely from the given link.

Click here

Python Libraries: numpy, pandas, sklearn, nltk, tensorflow, keras and for plotting matplotlib


Installation of Packages:


  1. For installing the above mentioned python packages please follow the procedure mentioned below.

  2. For installing new packages, system must be connected through internet.

  3. Press start in windows and search for "Anaconda Prompt". When you will click on the application, a prompt window will be open,wait for few seconds.

  4. You can check/ install any package in Anaconda Python by..
          pip install package_name

f-ex: pip install numpy
and press Enter key after typing these commands.

Note. If you are installing numpy like this, it will give requirement already satisfied message on the prompt. that means package is already installed in the anaconda python.

3. Installing Opencv for Image processing


Start the Anaconda Prompt: Press start in windows and search for "Anaconda Prompt". when you will click on the application, a prompt window will be open, wait for few seconds.

type command:
pip install opencv-python
press Enter.

4. Installing Tensorflow and Keras:


Start the Anaconda Prompt in administrator mode: Press start in “windows”, type “Anaconda Prompt”, and right click on the application and click “Run as Administrator”.

Repeat step 2
f.ex-
pip install tensorflow
pip install keras

5. Installing nltk and corpus: For Natural Language Processing:


a. Start the Anaconda Prompt in administrator mode: Press start in “windows”, type “Anaconda Prompt”, and right click on the application and click “Run as Administrator”.

Type on Anaconda Prompt as:
pip install nltk()
Press Enter.

b. Go to the start menu, search for Jupyter notebook. Click on it. Wait for a moment and a web browser will be open with home screen. Right part of this browser click on “New” keyword select for python 3.

It will open a python 3 notebook. Then follow the given below instruction.

1 Type command

Import nltk

nltk.download(‘popular’)

2. Run the file, it will automatically download all the important packages inside the nltk toolkit.


Help: You can also take help of YouTube video: for sample installation of Anaconda + Tensorflow + Keras

Note: If you want to work with regular python installed from (https://www.python.org/downloads/), installation of numpy, pandas, sklearn, ntlk, tensorflow, keras libraries can be still done using “pip install” command similar to step 2 and 3. However, installation of Anaconda Python is highly encouraged for the lab session.