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Lenet-5 is one of the earliest pre-trained models proposed by Yann LeCun and others in the year 1998. Learn about Lenet 5 architecture here.
Generative Adversarial Networks is a subclass of machine learning frameworks that was designed by Ian Goodfellow in 2014.
Learn about the Gated Recurrent Unit (GRU) and its advantages over traditional RNN and LSTM models for sequence modeling in AI.
Model Checkpointing is one of the important concepts of deep learning. Let us deep dive into it and understand it in this article.
In today’s article, we shall be discussing the necessary the skills needed to become a successful data scientist in 2021
Explore LSTM, its architecture, gates, and understand its advantages over RNNs. Learn about bidirectional LSTMs and their applications!
Learn about pixel values and find out how images are stored on a computer in the two most common image storage formats - Grayscale and RGB.
Gaussian Naive Bayes is one of the most widely used machine learning algorithms by the data science community. Lets understand it.
Let's talk about the process for license plate recognition using Convolutional Neural Network in this article and get an intuition
KNIME Analytics Platform is a free, open-source software for data science life cycle. This is an introduction to KNIME and its features
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