Deep Learning Online Training

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Deep Learning Online Training


 (4.8) | 350 Ratings


Introduction


Deep Learning Online Training Details
Track Regular Track Weekend Track Fast Track
Course Duration 35 Hrs 8 Weekends 5 Days
Hours 1hr/day 2 Hours a day 6 Hours a day
Training Mode Online Classroom Online Classroom Online Classroom
Delivery Instructor Led-Live Instructor Led-Live Instructor Led-Live


Course Curriculum

Deep Learning Introduction

Tools Covered

  • R
  • Python
  • Jupyter
  • Keras
  • H2o
  • IBM Watson

Pre-requisites

  • Solid understanding of Machine learning
  • Passion for AI Tools

What you will learn

  • AI Methods: Image data, Speech data, Text Data
  • Deep learning with Keras, Tenserflow & IBM Watson

Unit 1: Deep Learning Foundation

  • Neural Networks Basics
  • Single & Multilayer Perception
  • Convolutional Neural Network
  • Recurrent Neural Network
  • LSTM Neural Networks
  • Autoencoders
  • Reinforcement Learning

Unit 2: Deep Learning Framework

  • Deep Learning with R MxNet
  • Deep Learing with H2o
  • Deep Learning with Keras & Tenserflow
  • Practice Examples

Unit 3: Deep Learning with Keras & Tenserflow

  • Keras Installation and API
  • Keras CNN -Image Recognition
  • Keras RNN -NLP Text
  • Keras RNN -NLP Sentiment
  • Keras Regression
  • Keras Deep Network
  • Keras AI Game Theory

Unit 4: IBM Watson

  • IBM Watson Conceptual Overview
  • IBM Watson Configuration on Bluemix
  • App Development Essentials
  • Chtabot Building Technology
  • CV Preparation
  • Effective selling of CV in job sites
  • Executive presence for Interview

 

Exam & Certification

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Course Curriculum

Deep Learning Introduction

Tools Covered

  • R
  • Python
  • Jupyter
  • Keras
  • H2o
  • IBM Watson

Pre-requisites

  • Solid understanding of Machine learning
  • Passion for AI Tools

What you will learn

  • AI Methods: Image data, Speech data, Text Data
  • Deep learning with Keras, Tenserflow & IBM Watson

Unit 1: Deep Learning Foundation

  • Neural Networks Basics
  • Single & Multilayer Perception
  • Convolutional Neural Network
  • Recurrent Neural Network
  • LSTM Neural Networks
  • Autoencoders
  • Reinforcement Learning

Unit 2: Deep Learning Framework

  • Deep Learning with R MxNet
  • Deep Learing with H2o
  • Deep Learning with Keras & Tenserflow
  • Practice Examples

Unit 3: Deep Learning with Keras & Tenserflow

  • Keras Installation and API
  • Keras CNN -Image Recognition
  • Keras RNN -NLP Text
  • Keras RNN -NLP Sentiment
  • Keras Regression
  • Keras Deep Network
  • Keras AI Game Theory

Unit 4: IBM Watson

  • IBM Watson Conceptual Overview
  • IBM Watson Configuration on Bluemix
  • App Development Essentials
  • Chtabot Building Technology
  • CV Preparation
  • Effective selling of CV in job sites
  • Executive presence for Interview

 

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  +91 996-629-7972(IND)
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