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Tag Archives: Deep-Learning

PyTorch is an open-source machine-learning framework based on the Torch library. It is built by the Facebook AI team.  It is used for Computer vision… Read More
Padding is a technique used in convolutional neural networks (CNNs) to preserve the spatial dimensions of the input data and prevent the loss of information… Read More
Deep learning is a subset of machine learning that uses artificial neural networks (ANNs) to model and solve complex problems. It is based on the… Read More
In PyTorch, the torch.nn.Linear class is a linear layer that applies a linear transformation to the input data. It is called linear transformation because it… Read More
An epoch in machine learning is one complete pass through the entire training dataset. One pass means a complete forward and backward pass. It is… Read More
Today in this article we are going to see how we can build a Talking Healthcare Chatbot using Deep Learning. It is recommended to know… Read More
In this article, we will create Heterogeneous Graphs using dgl (Deep Graph Library) library in Python. Graphs are nothing but collections of Nodes/Vertices and Edges.… Read More
In this article, we will create Homogeneous Graphs using dgl (Deep Graph Library) library. Graphs are nothing but collections of Nodes/Vertices and Edges. Also, Edges… Read More
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

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