Deep Learning
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
Course Curriculum
Curriculum
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
