Cross Section and Deep Dive into TensorFlow.

PLEASE update your RSVPs at this Eventbrite page (https://www.eventbrite.com/e/boston-meetup-final-rsvp-cross-section-and-deep-dive-into-tensorflow-tickets-22553738840).

Agenda:

5:30 - Doors open. Initiation of the new guild members.
5:45 - Networking. Meet members of the guild.
6:45 - Welcome. Members of the guild to vote on the topics of interests for the future meetings.
7:00 - Fireside chat with Q&A with Hai Tran, Darshan Patel and Syed Tousif Ahmed
7:15 - Talk #1: Neural Networks with Google TensorFlow
7:45 - Q&A break
8:00 - Talk #2: Transfer learning on Tensorflow in 30 minutes
8:30 - Q&A & wrap-up.

Detailed agenda:

Fireside chat with Q&A with Hai Tran, Darshan Patel and Syed Tousif Ahmed

Talk #1: Neural Networks with Google TensorFlow by Darshan Patel

• TensorFlow Terminologies

• Softmax regression on MNIST dataset

• Convolution Neural Networks(CNN) on MNIST / CIFAR 10 dataset

-TensorBoard Graph Visualization

-Scikit Flow / Recurrent Neural Networks (RNN)

Speaker: Darshan Patel

Darshan is a Machine Learning Enthusiastic Second year Computer Science Masters student in the College of Computer and Information science at Northeastern University. Prior to his master study, he was a software developer at TCS, India. His area of interests are Machine/Deep Learning and Artificial Intelligence.

Talk #2: "Transfer learning on Tensorflow in 30 minutes" by Syed Tousif Ahmed

• What is transfer learning?
• How to collect data?
• How to retrain a model in tensorflow?
• Use cases and application of transfer learning

Speaker: Syed Tousif Ahmed

Syed is a Computer Vision Developer working at Ahold USA. He is also a student in Computer Engineering at Rochester Institute of Technology. His area of interests are Computer Vision, Machine Learning, Cryptography and Internet of Things.