
IEEE Sponsored National Workshop on Internet of Things with Deep Learning and Artificial Intelligence 2018
MEET YOUR MOMENT.
About the event
This workshop discusses technical concepts of machine learning, in connection with IoT.
Events & highlights
Workshop on Internet of Things with Deep Learning
and Artificial Intelligence
Meet the organizer
Explore St. Joseph's College of Engineering ↗Event type details
Workshop
Guests
Experts from Academia and Industry
Lecture and Hands on sessions for the course will be handled by Pantech ProEd.
Workshops
Deep learning is an aspect of artificial intelligence (AI) that is concerned with emulating the learning approach that human beings use to gain certain types of knowledge. A type of advanced machine learning algorithm, known as neural networks, underpins most deep learning models such as recurrent neural networks, convolutional neural networks, artificial neural networks and feed forward neural networks.
The Internet of Things (IoT) is the network which enables software, sensors and actuators to connect and exchange the data. The definition of the Internet of things has evolved due to convergence of multiple technologies such as machine learning and deep learning. The core objective of this workshop is to build the relationship between Deep learning and IoT with the help of Numpy, pandas, Seaborn Software Tools.
Artificial intelligence (AI), deep learning, and neural networks represent incredibly exciting and powerful machine learning-based techniques used to solve many real-world problems.
This workshop discusses technical concepts based on mathematics, statistics, probability theory, signal processing, machine learning, computer science and neuroscience
Registration deadline / Important dates
08.09.2018 (On spot Registration is also available)
Registration Fees
Rs. 600/- for Non- IEEE members
Rs. 300/- for IEEE members
How to Reach
Department of ECE
St. Joseph’s College of Engineering
St. Joseph’s Group of Institutions
OMR, Chennai- 119
Accommodation Details
Free Accomodation facility is available inside the campus.
Contact the organizer
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