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Explore the HOG feature descriptor in computer vision. Learn the steps to calculate HOG features and implement them in Python for analysis.
Take your computer vision skills to the next level with video classification models. Discover how to analyze and classify video data using deep learning.
Image feature extraction python: Learn the process of feature extraction in image processing using different image extraction method.
Take your NLP skills to the next level by learning how to remove stopwords and enhance the effectiveness of your text data models.
Learning how to build a language model in NLP is a key concept every data scientist should know. Learn to build a language model in Python in this article.
Real-time object detection is the next big thing in computer vision and deep learning. Learn how to perform real-time object detection using SlimYOLOv3.
Singular Value Decomposition (SVD) is a common dimensionality reduction technique in data science. Read about the common application of SVD is data science.
OpenAI’s GPT-2 is the world’s most advanced framework for NLP tasks in Python. Build your own GPT-2 AI text generator in Python.
Explore Mask R-CNN with our detailed guide covering image segmentation types, implementation steps and examples in Python and PyTorch.
PyTorch Transformers is the latest state-of-the-art NLP library for performing human-level tasks. Learn how to use PyTorch Transfomers in Python.
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