Description:

in this workshop, i will explain how to do transfer learning with TensorFlow 2. covering topics like:

Handling Customized Dataset Restore Backbone with Keras's application API Restore backbone from disk saving models and callbacks

Prerequisites:

• Deep Learning Basics
• Python Basics
• Understand models like VGG16 and FasterRCNN

Content URLs:

• https://docs.google.com/presentation/d/1mnlCXDEqXduv08B7L1riAjb1JwZYOf3-aKjVegZuR6A/edit?usp=sharing
• https://github.com/joinalahmed/pycon-2020

Speaker Info:

I am a Data Scientist specializing in computer vision, a pythonist, and a foss enthusiast. I am currently building next-gen AI solutions for healthcare at HaloDoc ID. My interests include Image processing, Computer vision, Deep learning, Data analytics, Machine learning, Open-source, and Reversible computing. I am passionate about deploying machine learning solutions to edge devices such as Nvidia Jetson Nano, Raspberrypi, Intel Movidius, Google Coral, and Edge TPU.

Speaker Links:

• https://www.linkedin.com/in/joinalahmed/