- Home
- Erode
- Kongu Engineering College Events
- Deep Learning with Tensor Flow DLTF 18
Deep Learning with Tensor Flow DLTF 18, Kongu Engineering College, Workshop, Erode, Tamil Nadu, 29th September 2018
View Event Website Brochure Link
- Event Type:
- Venue/Offline Mode
- Start Date :
- 29th September 2018
- End Date :
- 29th September 2018
- Location :
- Erode, Tamil Nadu
- Organizer :
- Kongu Engineering College
- Category :
- Workshop

About Event
OBJECTIVE
Deep learning is a fastest - growing field of Artificial Intelligence concerned with the study and design of computer algorithms for learning good representations of data, at multiple levels of abstraction. It features the development of complex, multi-layered algorithms based on Deep Neural Networks (DNN) to achieve critical breakthroughs in object recognition, facial recognition, and image/voice/speech recognition, as well as machine translation, Big Data analytics and natural language processing. The transformative impact of Deep Learning technology affects every industry, from security and social media to retail, finance and IoT (Internet of Things).
Overall theme of this workshop is to create awareness among faculty members about recent trends in research and also to create foundation of deep learning algorithms using Tensor Flow, where they can apply deep learning to solve real world problems.
Events
PROGRAMME CONTENTS
Machine Learning Basics and introduction to Deep Learning
Convolutional Neural Networks
Re current Neural Networks
Introduction to Tensor Flow and its applications
Getting started with Tensor flow – Basics and setup
Loading and accessing data in Tensor flow
Training a Network with Tensor Flow
Case study using Tensor Flow
Workshops
PROGRAMME CONTENTS
Machine Learning Basics and introduction to Deep Learning
Convolutional Neural Networks
Re current Neural Networks
Introduction to Tensor Flow and its applications
Getting started with Tensor flow – Basics and setup
Loading and accessing data in Tensor flow
Training a Network with Tensor Flow
Case study using Tensor Flow
Departments:
CSE ECE IT EEE Mechanical Civil Arts MCAAccommodation
BOARDING AND LODGING
Accommodation and boarding will be provided to outstation participants in the college campus on chargeable basis.
How to reach Kongu Engineering College, Erode
ABOUT THE LOCATION
The college is situated at Perundurai on the National Highway (NH 47) about 80 km from Coimbatore and 20 km from Erode. It is well connected by air, road and rail.
Related Links:
Deep Learning with Tensor Flow DLTF 18 Kongu Engineering College Erode Tamil Nadu September 2018 Workshops Workshops in Tamil Nadu Workshops in Erode Seminars Seminars in Tamil Nadu Seminars in ErodeFeatured Events
-
One Week Internship on Artificial Intelligence (online Mode) 2025
6th Oct 2025
-
Two Day Fdp on Startups, Entrepreneurship, Innovation and Design Thinking (online) 2025
9th Oct 2025
-
IoT Automation using Raspberry Pi & Node-red Workshop 2025
11th Oct 2025
-
AI Tools Workshop 2025
11th Oct 2025
-
IoT with Robotics Workshop 2025
11th Oct 2025
-
Data Science Workshop 2025
12th Oct 2025
-
Artificial Intelligence and Large Language Models (Chatgpt) Workshop 2025
12th Oct 2025
-
IoT and Embedded Workshop 2025
12th Oct 2025
-
One Week Internship on Python Programming 2025
13th Oct 2025
-
PAPER FUSION 2025 (National Level Paper Presentation Competition)
16th Oct 2025
-
The 3rd International Conference on Innovations in Electrical, Electronics and Communication Engineering (ICIEECE-2025)
25th Oct 2025
-
IoT Automation using Raspberry Pi & Node-red Workshop 2025
25th Oct 2025
-
REACTJS FOR FRONTEND WEBSITE DEVELOPMENT WORKSHOP 2025
25th Oct 2025
-
PYTHON FOR MACHINE LEARNING WORKSHOP 2025
25th Oct 2025
-
AI & AI tools Workshop 2025
26th Oct 2025
-
Deep Learning and its Industrial Applications Workshop 2025
26th Oct 2025
-
Data Analytics Workshop 2025
26th Oct 2025
-
National Students' Space Challenge 2025
7th Nov 2025
-
International Conference on Interdisciplinary Technologies in Research and Artificial Intelligence ICITRAI 2025
27th Nov 2025