Instruction for beginner

PREREQUISITE FOR THE ATTENDEES

Participants should bring laptop with power adaptor, convertors, WIFI devices and other peripherals (Hands On Workshop)

IDE : Anaconda/Jupyter ·

Installations:

1. Python 3.6 https://www.python.org/downloads/release/python-367/

2. TensorFlow(Stable Version) https://www.tensorflow.org/install/

3. Keras https://keras.io/#installation

speaker 01

Dr. Dilip Mathew Thomas

Dilip Mathew Thomas is an independent consultant and works in the areas of computer vision, deep learning and machine learning. Dilip holds a Ph.D. and a Masters degree in Computer Science and Engineering from Indian Institute of Science, Bangalore and a Bachelors degree in Computer Science and Engineering from National Institute of Technology, Calicut. He has around 16 years of combined experience as a researcher and an engineer and has several publications in top tier journals and conferences. He is the first student from India to publish a paper at IEEE VIS, the premier forum for advances in visualization, was part of the team that won the Qualcomm Design in India Challenge for building AI based smart cameras in 2017 and was also presented the CSA-IBM India Research Labs' Best Thesis award.

speaker 02

Arthur Wellesly

Arthur Wellesly is a Lead Engineer(Artificial Intelligence) at Cycloides Technologies Pvt. Ltd. He also holds the position of Google Developer Group Machine Learning Study Jam Facilitator and has 6+ years of experience. Wellesly is passionate to build solutions in Machine Learning, Artificial Intelligence and in Blockchain. He is eager to learn and invests a quite amount of time in learning wide range of different scientific topics.

speaker 01

Dr. Dilip Mathew Thomas

Dr. Dilip Mathew Thomas is an independent consultant and works in the areas of computer vision, deep learning and machine learning. Dilip holds a Ph.D. and a Masters degree in Computer Science and Engineering from Indian Institute of Science, Bangalore and a Bachelors degree in Computer Science and Engineering from National Institute of Technology, Calicut. He has around 16 years of combined experience as a researcher and an engineer and has several publications in top tier journals and conferences. He is the first student from India to publish a paper at IEEE VIS, the premier forum for advances in visualization, was part of the team that won the Qualcomm Design in India Challenge for building AI based smart cameras in 2017 and was also presented the CSA-IBM India Research Labs' Best Thesis award.

speaker 02

Arthur Wellesly

Arthur Wellesly is a Lead Engineer(Artificial Intelligence) at Cycloides Technologies Pvt. Ltd. He also holds the position of Google Developer Group Machine Learning Study Jam Facilitator and has 6+ years of experience. Wellesly is passionate to build solutions in Machine Learning, Artificial Intelligence and in Blockchain. He is eager to learn and invests a quite amount of time in learning wide range of different scientific topics.

topic details time
Start Time and Welcome Speech 09:30 AM - 09:45 AM
Intro about Deep Learning for Computer Vision
Dr. Dilip Mathew Thomas 09:45 AM - 10:00 AM
Machine Learning Intro Dr. Dilip Mathew Thomas 10:00 AM - 10:30 AM
Logistic Regression with Mathematical Intuition and Practical Dr. Dilip Mathew Thomass 10:30 AM - 11:00 AM
TEA BREAK N/A 11:00 AM - 11:15 AM
Continuation of Logistic Regression with practical Dr. Dilip Mathew Thomass 11:15 AM - 12:00 PM
Neural Network Intro Dr. Dilip Mathew Thomas 12:00 PM - 12:30 PM
LUNCH BREAK N/A 12:30 PM - 01:30 PM
Convolutional Neural Network Applications Dr. Dilip Mathew Thomas 01:30 PM - 01:45 PM
Artificial Neural Network Intro Dr. Dilip Mathew Thomas 01:45 PM - 02:30 PM
Convolution Neural Network Intuition with Practical Arthur Wellesly 02:30 PM - 03:30 PM
TEA BREAK N/A 03:30 PM - 03:45 PM
Build a Deep Learning Fashion Classifier Model from Scratch Arthur Wellesly 03:45 PM - 04:45 PM
Q/A Dr. Dilip Mathew Thomas &Arthur Wellesly 04:45 PM - 05:00 PM