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Deep learning is a method of how a computer system can understand through observation and making decisions according to its experience. Deep learning methods are helpful for computer vision, natural language processing, speech recognition and processing, and many more. The popularity of Deep Learning increases over the past few years. Therefore the demand for Deep Learning Based Projects is increasing drastically.
Most deep learning methods use neural network architectures, which is why these models are often refer to as deep neural networks. Most of the advancements in artificial intelligence in recent years are because of this learning technology. So, Deep Learning is a future proof technology. A career in this field will be a wise choice for students.
When looking at today’s scientific achievements, we can surely say that a new industrial revolution is taking place. It is driven by artificial neural networks and Deep learning. Therefore, we can say that deep learning is the best approach to real machine intelligence we’ve had so far. Also, Deep Learning Based Projects makes them ready for a wonderful career in this technology.
Pantech eLearning is an Online Learning Service provider at T.Nagar in Chennai. We are providing latest Deep Learning Based Projects for you.
Given below is the list of Top 10 Projects we are providing:
This paper proposes a method of ingredient-based food calorie estimation using nutrition knowledge and information.
The objective of this project is to recognise and also annotate the human action in an unconstrained environment, where the images contain a huge range of variability.
In this paper by using neural network the oil spill regions has been extracted in radar image.
The project presents object characteristics analysis using image processing techniques for automated vision system using at agricultural field.
The project presents speech emotion recognition from speech signal base on features analysis and also NN-classifier.
We introduce the Social Distancing (VSD) problem, also deﬁned as the automatic estimation of the inter-personal distance from an image.
In this paper, we solve the problem by use of the probability method and also metric instead of traditional frequency metric.
The goal is classifying the fetal brain and also detecting the abnormalities. In this paper we present a computational tool for detection by convolution neural network (CNN). A CNN passes an image through the network layers and finally outputs a final class.
This paper presents license plate recognition system using connected component analysis and also template matching model for accurate identification.
In this system we are going to implement crowd based traffic control light system using CNN. Lane will be getting open on the basis of crowd at the desired lane.
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