Introduction to Deep Learning using TensorFlow
Submitted by SUNIL KUMAR (@sunilkumarjb) on Tuesday, 20 March 2018
The hands-on workshop will cover basics on machine and deep learning. It will also include custom training of TensorFlow. The attendees will learn how to use deep learning tools to construct prototype of real world applications in multiple domains.
- Introduction to Machine Learning
- Deep Learning Concepts
- TensorFlow Basics
- Foundations of Convolutional Neural Networks
- MNIST Classification
- Solving Multi-Class Image Classification Problems: Case Study
- Introduction to Keras
- Hands-On session on custom training of TensorFlow
- Future of machine learning- Reinforcement learning overview
- Laptop, Python 3
- Basic python understanding
Mihir Punjabi is a Principal Solutions Architect at Capgemini Product & Engineering Services and is a SogetiLabs member (http://labs.sogeti.com/). Mihir is Machine Learning evangelist at Capgemini focusing around Cognitive ML, Edge intelligence, Hybrid ML, Swarm Intelligence, TensorFlow, etc. He is an IBM Certified Watson Application Developer
Sunil Kumar Jang Bahadur is a Senior Consultant at Capgemini Product & Engineering Services. Sunil is Machine Learning and Data Science enthusiast focusing on Machine learning, Deep learning, MS IoT Edge, Chatbots, TensorFlow, Caffe2, CNTK, log analytics, etc. He is a Microsoft Certified Azure Architect and IBM Certified Watson Application Developer.