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In this article, you will learn some tips and tricks to make engaging videos by building multiple regression models.
The activation function in Deep Learning calculates a weighted total and adds bias to decide whether a neuron should be activated or not.
Tensorflow in deep learning is an open end-to-end machine learning platform. It's a symbolic math toolkit that integrates data flow.
Learn the basics of CNN (Convolutional Neural Networks), including layers, padding, pooling, ReLU, & Python implementation in this guide.
In this article, let us work on creating a angle detection model using computer vision in python and see its real world applications
Explore the Convolutional Neural Networks in deep learning, covering architecture, layers, training, limitations, and Python implementation.
In this article, we will see how to Lenskit build a recommender system and evaluate different recommender algorithms using the nDCG metric.
In this article we will be doing pose detection using Mediapipe and OpenCV. We will go in-depth about all the processes and code
With Flask-WTF, you can define the form fields in Python script and then you can render them using an HTML template.
The objective of this article is to build a mode for cricket shot classification using the images of the pose of a player while playing
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