[Invited]Introduction to Deep Learning using Tensorflow

Abstract

• Introduction to Deep learning and Overview.
• Computer vision and it’s applications.
• How to write your own neural network layers using tensorflow and python.
• Train a simple neural network built from scratch using TensorFlow.
• Dive into parameter definitions and understanding building models using TensorFlow and keras.

Overview :

Learn about deep learning and it’s history, major breakthroughs and how we use data to build deep learning models. Learn about convolution operations, maxpooling , strides, padding and such concepts. Get to know the basics of TensorFlow like placeholder, session and the concept of tensor. Learn how to build your own Tensorflow models using tensorflow.keras calls, understand what Conv2d, MaxPool, Dense, Flatten mean in the context of writing your own layers. Understand the significance of choosing the right optimizer and loss function along with specifying neurons in Dense layers.