Building RNN (Recurrent Neural Network) using TensorFlow
In this tutorial we will look into building RNN using Tenserflow.
We can use RNN for forecasting data where output can be next value or sequence of values.
The RNN trains its units by adjusting their weights following a slight modification of a feedback process known as backpropogation
We can use tenserflow to implement RNN. Following code we implement an RNN in to predict spam from texts
Test accuracy plot
AI , Data Science and Machine Learning Workshop at ICBT.
Recently I did 2 Days AI , Data Science and Machine Learning Workshop at ICBT for HND students.
I covered following topics at the training.
Introduction to Machine Learning
Introduction to Azure Machine Learning
Managing Data-sets
Building Azure Machine Learning Models
Using Azure Machine Learning Models
Using Cognitive Services
150 IT Students attended 2 days workshop.
For Training Requirement Contact-
Knowledge Sharing Session at New Horizons Bangladesh.
Recently I did technology Knowledge Sharing at New Horizons Bangladesh.
I covered following topics at the session.
Apple IOS Mobile App development
Android Mobile App development
Microsoft Xamarin Cross Platform Mobile App development
React Native Cross Platform Mobile App development
Data Science Boot-camp
Deep Learning Boot-camp
Azure Machine Learning
Blockchain Application Development
AI , Data Science and Machine Learning Workshop at Dhaka , Bangladesh.
Recently I did 2 Days AI , Data Science and Machine Learning Workshop at Dhaka,Bangladesh for Microsoft partners.
I covered following topics at the training.
Introduction to Machine Learning
Introduction to Azure Machine Learning
Managing Data-sets
Building Azure Machine Learning Models
Using Azure Machine Learning Models
Using Cognitive Services
Building Product Recommender system
Microsoft BOT framework
Data Science Frameworks
Deep Learning Frameworks
15 Software developers from Dhaka attended 2 days of training.
For Training Requirement Contact-
Colombo AI Technology Meetup.
We had recently started Colombo AI Technology Meetup group.
This Meetup group we are planning to Promote Data Science ,
AI, Machine Learning and Deep Learning technologies in Sri Lanka.
Right now we have close to 200 members in this groups.
https://www.meetup.com/Colombo-AI-Technology-Meetup/
First major event we planning is Global AI Night – Colombo
https://www.meetup.com/Colombo-AI-Technology-Meetup/events/258786956/
Machine Learning and AI Workshop at NetAssist International
Recently I had conducted Machine Learning and AI workshop at NetAssist Colombo. Around 40 attended the workshop. Employees from various IT companies and organizations attended the event.
Topics covered at the workshop-
https://uditha.wordpress.com/2017/11/15/big-data-and-machine-learning-workshop-sri-lanka/
Deep Learning with TenserFlow workshop.
In this workshop you will learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello World” example, throughout the workshop you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, Deep Neural Networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn popular deep learning API such as Keras and Teano.
Agenda-
· Introduction to Spyder IDE Jupiter Notebook with Python basics
· Python Data science libraries
· Introduction to tenser flow basics
· Basic Neural Networks using tenser flow
· Advanced Neural Networks using tenser flow
· Keras API for Deep learning
· Theano API for Deep learning
R Programming Workshop Sri Lanka.
Introduction to R Programming workshop teaches attendees how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.
Overview
· History of R
· Advantages and disadvantages
· Downloading and installing
Introduction
· Using the R console
· Learning about the environment
· Writing and executing scripts
· Object oriented programming
· Installing packages
· Working directory
· Saving your work
Variable types and data structures
· Variables and assignment
· Data types
· Numeric, character, boolean, and factors
· Data structures
· Vectors, matrices, arrays,
· Assigning new values
· Viewing data and summaries
Base graphics system in R
· Scatterplots, histograms, barcharts, box and whiskers, dotplots
· Labels, legends, titles, axes
· Exporting graphics to different formats
General linear regression
· Linear and logistic models
· Regression plots
· Interaction in regression
