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Introduction to Deep Learning using TensorFlow

Submitted by SUNIL KUMAR (@sunilkumarjb) on Tuesday, 20 March 2018


Preview video

Technical level: Intermediate

Abstract

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.

Outline

  • 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

Requirements

Requirement:

  • Laptop, Python 3
  • Basic python understanding

Speaker bio

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.

Preview video

https://youtu.be/rmD_WVqY1LM

Comments

  • Hari C M (@haricm) Reviewer a year ago

    Sunil, you have to share preview video for us to evaluate this workshop

    • SUNIL KUMAR (@sunilkumarjb) Proposer a year ago

      Uploaded the preview videos as requested.

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