Deep Learning Using Keras

Nov 16, 2019

09:30

Prerequisites

Python programming experience Basics of machine learning

Do you want to jump into the Deep Learning? Are you still stuck on grasping how backpropagation works? Then this workshop is for you! The goal of this workshop is to get you up to speed with the advancements in Deep Learning with a practical perspective.   Along with this, you will also get to know about keras, a tool which has been getting heavy attention from the community as it provide simple higher level interface to build Deep Learning models. In this workshop, our objective is to make you comfortable to build image and text classification deep learning models using keras. And, you will also learn the building blocks of deep learning: MLP (Multi Layer Perceptron), CNN(Convolutional Neural Network) and RNN (Recurrent Neural Network).

Prerequisites for the workshop:

  • Python programming experience
  • Basic knowledge of machine learning

Structure of the workshop

This is an 8-hour workshop and includes the following modules:
  • Introduction to Deep Learning
  • Getting started with Keras
  • Working with Image dataset
  • Understanding Building Block of a Neural Network
  • Building a simple neural network using Keras
  • Parameter tuning in Deep Learning
  • Solving an image classification challenge – Fashion MNIST
  • Image Processing using Convolutional Neural Network
  • Natural Language Processing using Recurrent Neural Network and LSTM
  • Solving a text classification challenge using RNN/ LSTM
  • Where to go from here?
Duration: 8 hours Note: Participants needs to carry their laptop for the workshop. BUY NOW
  • Xander Steenbrugge

    Head of Applied ML Research

    ML6

    BIO

    Xander is a computer-science engineer from Belgium, Europe, fascinated by Machine Learning and Artificial Intelligence. He’s also a YouTube vlogger at ‘Arxiv Insights’ and teaches a Reinforcement Learning MOOC that will be freely available on the edX platform starting from September. Having worked as a Machine Learning engineer for almost 5 years, Xander has a wide

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