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How to Treat Overfitting in Convolutional Neural Networks
Overfitting indicates that your model is too complex for the problem that it is solving. Learn different ways to Treat Overfitting in CNNs.
Guest Blog 08 Sep, 2020
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Introduction to Seq2Seq Models
The Seq2Seq( sequence to sequence) model is a special class of RNNs used to solve complex language problems.
Guest Blog 01 May, 2025
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A Beginner’s Guide to Focal Loss in Object Detection!
In this article we explain Focal Loss which is an improved version of Cross-Entropy Loss, that tries to handle the class imbalance problem.
Guest Blog 09 Nov, 2020
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4 Impressive GAN Libraries Every Data Scientist Should Know!
Generative Adversarial Network is a deep learning method used for image data. Here's all you need to know about the various GAN libraries.
Shipra Saxena 23 May, 2023
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How to build a Face Mask Detector using RetinaNet Model!
Face Mask Detector is a prime requirement of this pandemic. Learn to create a Face Mask Detector using RetinaNet in python.
Guest Blog 25 Aug, 2020
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How to Reduce Computational Constraints using Momentum Contrast V2(Moco-v2) in PyTorch
MoCo-v2 comes with the simplicity and power of SimCLR with fewer compute requirements. It is unsupervised technique for visual representation learning.
Guest Blog 18 Aug, 2020
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Image Augmentation on the fly using Keras ImageDataGenerator!
Learn Image Augmentation with Keras ImageDataGenerator. Expand your dataset size with this deep learning image augmentation technique. Optimized for Google.
Aniruddha Bhandari 19 Feb, 2024
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Playing with YOLO v1 on Google Colab
Understand, how you can quickly start detecting objects in images of your own, using the YOLO v1 architecture on the Google Colab platform, in no time.
Guest Blog 04 Aug, 2020
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Build a Natural Language Generation (NLG) System using PyTorch
Understand NLG concepts such as dataset preparation, how a neural language model is trained, and finally Natural Language Generation process in PyTorch.
Prateek joshi 04 Aug, 2020
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Selecting the Right Bounding Box Using Non-Max Suppression (with implementation)
Non-max suppression is used in various object detection algorithms like yolo, ssd. Understand how non-max suppression with implementation.
Aishwarya Singh 12 Nov, 2024
