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
About Our Trainer
Dinesh has delivered customised training courses for many of the world's best-known brands - and would be happy to consider delivering training for your business, too.
We will cover all major business and technology trends, including Big Data, Machine Learning, the Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality, Blockchains, Virtual Reality (VR) and robotics, the sharing economy, the rise of platform business models, crowd sourcing, and the ‘as a service’ business model.
Want a free career Advice or any career related queries? Reach him by
+91- 8939915572
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
