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Simplexety Method – Plot millions of (time-series) data points into one chart (cartesian coordinate system)
According to the Simplexety Method, implemented into SimplexNumerica, the values are reduced to four values as discussed in the article
Rey 23 Mar, 2021
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Beginners Guide to Robotics With Python
Robots can learn, navigate, and make decisions all by themselves. This article will help you with further experience in Robotics With Python
Shiv 23 Mar, 2021
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Introduction to Image Segmentation for Data Science
Image segmentation is the task of partitioning an image based on the objects present. Lets understand image segmentation for data science
Shipra Saxena 30 Mar, 2021
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Introduction to The Architecture of Alexnet
AlexNet architecture: 8 layers, 62.3M parameters, ReLU, dropout, convolution, and deep learning advancements for image recognition.
Shipra Saxena 01 May, 2025
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Improving your Deep Learning model using Model Checkpointing(Implementation)- Part 2
See the implementation of Model checkpointing and you're required to have a little bit of prior knowledge about creating models using Keras
Himanshi Singh 18 Mar, 2021
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The Architecture of Lenet-5
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.
Shipra Saxena 01 May, 2025
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Why Are Generative Adversarial Networks(GANs) So Famous And How Will GANs Be In The Future?
Generative Adversarial Networks is a subclass of machine learning frameworks that was designed by Ian Goodfellow in 2014.
Mrinal Singh 02 Jul, 2023
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Introduction to Gated Recurrent Unit (GRU)
Learn about the Gated Recurrent Unit (GRU) and its advantages over traditional RNN and LSTM models for sequence modeling in AI.
Shipra Saxena 01 May, 2025
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Improving your Deep Learning model using Model Checkpointing- Part 1
Model Checkpointing is one of the important concepts of deep learning. Let us deep dive into it and understand it in this article.
Himanshi Singh 18 Mar, 2021
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What is LSTM? Introduction to Long Short-Term Memory
Explore LSTM, its architecture, gates, and understand its advantages over RNNs. Learn about bidirectional LSTMs and their applications!
Shipra Saxena 01 May, 2025
