From robotics to computer vision, language translation, healthcare, robotics, music, healthcare and advertising, deep learning is turbocharging every industry. The scope for Deep Learning is higher than ever. However closer the Deep Learning projects move to real-life applications their faster complexity increases. This is where students need expert help and guidance from deep learning experts at Takeoff Projects.

At Takeoff Projects, we are equipped with a team of experts in Deep Learning who are powered by our extensive resources and research infrastructure. They had independent ideated, executed and delivered hundreds of Deep Learning projects in the last few years successfully in a wide variety of domains. If you are stuck at a point and your project has stalled our experts can provide the right assistance and guidance to get your project done successfully without hiccups. Even if you are looking for complete Deep Learning projects with source code, our experts at Takeoff Projects can deliver it to you on a platter with complete support and assistance.


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Project Name
Action
1 TEMBPG925 Face Recognition Door Lock System Using Raspberry Pi
2 TEMBPG890 Banana Leaf Disease Detection using CNN
3 TEMBPG891 A Glove that Translates Sign Language into Text and Speech
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Deep learning is a subset of Machine Learning which is a subset of Artificial Intelligence (AI). While Artificial Learning is a technique that aims to mimic human thinking, Machine Learning enables it to do so by the use of algorithms.

Deep Learning is a specific type of Machine Learning technique where the algorithms are based on artificial neural networks which mimic the structure and function of the brain. So both Machine Learning and Deep Learning contain algorithms that help AI to mimic, but their algorithms differ and the path they take to arrive at the decision is different.

Are you Looking for Deep Learning Projects with Source Code?

Deep Learning is far more advanced than machine learning and gives the best output prediction as the computation in huge and training data set is humongous. Due to the need for a large volume of labelled data and higher computational power (GPUs) Deep Learning projects were in nascent stages up until the last decade. However, with the easy availability of computational power students can easily take up and execute their Projects successfully today.


Final year projects