Deep Learning Project List with Abstract and Source Code - 21/22
Deep learning is branch of machine learning which basically mimics the behavior of a human brain like how the neurons are connected with each other and the way they interact and share information which will allow the model to precisely identify or categorize the object it is trying to learn. Deep Learning is a subset of Machine Learning(A technique to achieve AI through algorithm trained data) which in turn is a subset of AI ( A technique to mimic human behavior) Deep learning is inspired by the structure of the human brain in terms of deep learning the human brain is called as Artificial Neural Network(ANN). It has three or more neural network layers.
We have selected quite interesting projects in Deep Learning and tried to explain each project in detail with step by step execution where every individual irrespective of their educational background can learn and execute this projects by themselves.
Project List with Step by Step execution
|S.No||Project Code||DL Projects||Action|
|1||TYTDL1004||Classifying the Flowers of Iris Dataset using Deep Neural Networks||DETAILS|
|2||TYTDL1005||Predicting the lung cancer in patients by Deep Neural Networks using CT Scan Images||DETAILS|
|3||TYTDL1008||Customer churn prediction on Financial Dataset using Artificial Neural Network||DETAILS|
|4||TYTDL1009||How likely a person is about to make Bank Turnover, Estimating it uisng Artificial Neural Network.||DETAILS|
|5||TYTDL1010||Deep learning based dog breed identification using Convolutional Neural Networks with flask app||DETAILS|
|6||TYTDL1012||Classifying the Brain Tumors using CNN with Front End Framework||DETAILS|
|7||TYTDL1013||Identifying type of music (genre) using deep learning||DETAILS|
|8||TYTDL1014||Hand Written Digits Classification using Deep Neural Network.||DETAILS|
|9||TYTDL1015||Nifty price movement prediction using LSTM||DETAILS|
|10||TYTDL1019||Classifying the type of Flowers using Convolutional Neural Networks||DETAILS|
|11||TYTDL1020||Detection of Retinal pigmentosa in paediatric age patients using CNN with Tkinter Framework||DETAILS|
|12||TYTDL1022||Transfer Learning Based Kidney Stone Prediction in Patients, using RESNET50||DETAILS|
|13||TYTDL1023||Future Stock Trend Estimation using LSTM and Deployed on Streamlit Application||DETAILS|
|14||TYTDL1024||Covid 19 Pandemic Prediction using LSTM Network||DETAILS|
|15||TYTDL1025||Identifying Defects in the Various Fabrics using Convolutional Neural Networks||DETAILS|
|16||TYTDL1026||Pot Hole Detection on the roads using Transfer Learning (Resnet 50)||DETAILS|
|17||TYTDL1028||Hand Gesture Recognition Model using Deep Learning||DETAILS|
|18||TYTDL1031||Deep Fake Video Detection using Deep Learning with Tkinter GUI||DETAILS|
|19||TYTDL1034||Identifying the lane the vehicle is travelling.||DETAILS|
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