Deep Learning - Page 6 of 6

What is Recurrent Neural Network and how does it work?

Recurrent neural network is a type of deep learning algorithm which is used to process sequential data. The main idea of recurrent neural network is that it can learn from previous information and then use that information to predict the next one. That’s why it’s called a recurrent neural network, because it can go back…

What are Convolutional Neural Networks? What can They do?

Convolutional Neural Networks were originally developed by Yann Lecun, who was working at Bell Labs in New Jersey, and Geoffrey Hinton, who was working at the University of Toronto. Convolutional neural networks are a type of deep learning model that is used for image recognition. They use the convolution operation to identify features in images…

Difference between Deep Learning and Natural Language Processing?

In the realm of artificial intelligence, two prominent domains, Deep Learning (DL) and Natural Language Processing (NLP), have emerged as powerful tools. While both are related to machine learning, they serve distinct purposes and possess unique characteristics. This article aims to delve into the dissimilarities between Deep Learning and Natural Language Processing, shedding light on…

What is Deep Learning?

Deep learning is a subset of Machine learning, which in turn is a subset of artificial intelligence, artificial intelligence is a fashion that enables a machine to mimic mortal gets machine learning is a fashion to achieve AI through algorithms trained with data and eventually. deep learning is a type of machine learning inspired by…

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Category: Deep Learning

What is Recurrent Neural Network and how does it work?

What are Convolutional Neural Networks? What can They do?

Top 3 books to read about Computer Vision?

Difference between Deep Learning and Natural Language Processing?

What is Deep Learning?