Deep learning is a subset of machine learning, which is a broader field of artificial intelligence (AI). It involves the training of artificial neural networks, also known as deep neural networks, to perform tasks without explicit programming. The term "deep" refers to the use of multiple layers (deep architectures) in these neural networks.

Modules OF DEEP LEARNING

Day 01- An introduction to deep learning Concepts

Day 02- Neural Networks and its classification

Day 03 - Artificial Neural Networks ( ANN ) & Application

Day 04- Convolutional Neural Network (CNN)with application

Day 05 - Recurrent Neural Networks ( RNN ) with application

Day 06 - Projects (a) age and gender detection (B) qr code

Day 07 - Long Short-term Memory Networks

Day 08 - Tensor flow Implementation

Day 09 - Keras Application

Day 10 - Number plate recognition application

Day 11- People Counting using Deep Learning

Day 12 - An application for checking the speed of the vehicle

Day 13 - Facemask & Helmet detection

Day 14 - Food Ingredients detection

Day 15 - Detection Algorithms in Deep Learning

Day 16 - Fire detection using Raspberry pi and DL

Day 17 - Image to text and text to speech application using DL

Day 18 - social distance monitoring using DL

Day 19 - Hand written text recognition (OCR Implementation )

Day 20 - Head pose detection using DL

Day 21 - Drowsiness detection

Day 22 - Drone detection

Day 23 - Face emotion detection

Day 24 - Leaf disease detection

Day 25 - Face recognition using dl

Day 26 - An application of Yolo based object detection

Day 27 - Face clustering application

Day 28 - Covid -19 chest x ray images detection using dl

Day 29 - Smart glasses and sign language based hand gesture recognition

Day 30 - An application of digit recognition .

Deep Learning course will be added to the LMS Portal, we will send notify to your registered mail. If you didn't receive according login credentials.