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Tag Archives: Deep-Learning

Computer Vision is one of the applications of deep neural networks that enables us to automate tasks that earlier required years of expertise and one… Read More
As we are now moving at this speed in technology, we’re becoming more adaptive toward it. In recent years, there has been a lot of… Read More
Deep learning is a subfield of machine learning related to artificial neural networks. The word deep means bigger neural networks with a lot of hidden… Read More
It is assumed that the reader knows the concepts of Neural Networks and Convolutional Neural Networks. If you are sure about the topics please refer… Read More
Introduction: Introduced in the 1980s by Yann LeCun, Convolution Neural Networks(also called CNNs or ConvNets) have come a long way. From being employed for simple… Read More
Since their inception in the late 1950s, Artificial Intelligence and Machine Learning have come a long way. These technologies have gotten quite complex and advanced… Read More
While building and training neural networks, it is crucial to initialize the weights appropriately to ensure a model with high accuracy. If the weights are… Read More
In this article, we are going to see the working of convolution neural networks with TensorFlow a powerful machine learning library to create neural networks.… Read More
In this article, we are going to see some basics of ANN and a simple implementation of an artificial neural network. Tensorflow is a powerful… Read More
Deep Learning is a part of machine learning and artificial intelligence that uses multiple layers to extract useful information from raw data. From self-driven cars… Read More
Image classification is one of the supervised machine learning problems which aims to categorize the images of a dataset into their respective categories or labels.… Read More
A Brief Idea of Cost Functions How does your teacher assess whether you have studied throughout the academic year or not? She takes a test… Read More
Proximal Policy Optimisation (PPO) is a recent advancement in the field of Reinforcement Learning, which provides an improvement on Trust Region Policy Optimization (TRPO). This… Read More
What is Pose Estimation? Pose estimation is a computer vision technique that is used to predict the configuration of the body(POSE) from an image. The… Read More
Artificial Intelligence is a kind of technology with the promise of transforming the way the world works. This is a never before seen scale of… Read More

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