DataHour : Deep Learning Classification Model

About the DataHour:

In this DataHour Lakshmi will explain how to create a deep learning model through practical demonstration using Fashion-MNIST dataset, a dataset of Zalando article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Zalando intends Fashion-MNIST to serve as a direct drop-in replacement for the original MNIST dataset for benchmarking machine learning algorithms. 

Prerequisites:

Enthusiasm of learning Data Science and basics of Neural networks

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Lakshmi Devi Prakash, Senior Associate - Data Scientist at JPMorgan Chase & Co.

Laxmi is currently working as Senior Data Scientist at JP Morgan and Co. She is a passionate Data Scientist, Mentor and Online trainer with the ability to motivate and inspire individuals in identifying their potential to continue and share this passion to serve others. She has completed more than 80 Coursera courses. She has more than 9 years of experience in this domain and has worked with various reputed companies and institutions like Capgemini, Simplilearn etc. She has also served as an assistant professor in Sri Channabasaveshwara Institute of Technology, GUBBI Tumkur for 5 years. 

Connect with Lakshmi at Linkedin