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Ball tracking system is a part of DRS. Here, learn how to build a ball tracking system for cricket using object tracking, deep learning and Python.
Pretrained models and transfer learning is used for text classification. Here are the top pretrained models you shold use for text classification.
Explore the architecture, training, and prediction processes of 12 types of neural networks in deep learning, including CNNs, LSTMs, and RNNs
Learn how to build automatic music generation models. This article talks about music generation using deep learning in Python.
A beginner-level introduction to Generative Models and GANs. This is an end-to-end guide to understand how GANs work in computer vision.
Here's a break down of the best papers from NeurIPS 2019! Each NeurIPS 2019 best paper is sumamrized and explained in this article.
Neural fake news is a nuisanse these days. We can use state-of-the-art natural language processing (NLP) techniques to detect and fight it.
Image augmentation is a powerful technique to work with image data for deep learning. Learn pytorch image augmentation for deep learning.
Learn about Attention Mechanism, its introduction in deep learning, implementation in Python using Keras, and its applications in computer vision.
Improve your deep learning model performance by understanding 4 key challenges and the tricks to overcome them.
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