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In this article, we will speak about Robotics with Python in the fourth industrial revolution and improving the existing efficiency
Learn about edge image processing and how it helps identify boundaries in images using techniques like Canny and Sobel.
Language Detection is an important utilization of Natural Language Processing. In this article let's see implementation of Language Detection
Image augmentation techniques help in altering the existing image data to create some more data for the model training process
Vision Transformers is one of the prominent tranformers for Image Recognition at Scale. Let'd deep dive into Vision transformers
Batch normalization is the process to make neural networks faster and more stable through adding extra layers in a deep neural network.
Forward propagation is the first step of training a neural network. In this article, learn about the errors and forward propagation
In this article we are going to create our own International Space Station(ISS) detector using Python and test it to see if it works
Gradient descent is a first-order iterative optimization algorithm. In this article, learn how does gradient descent work and optimize model
Cost function gives the lowest MSE which is the sum of the squared differences between the prediction and true value for Linear Regression
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