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What is one-hot encoding? It is a way to feed categorical data to Machine Learning models. Why do we use one-hot encoding?

Today we are going to have a better understanding of U-NET. U-NET is a convolutional neural network architecture that was ...

... position with respect to each other after this we pass these vectors to a trans Transformer encoder where it relates different parts ...

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Which is the best way to initialize weights in a neural network.

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Should you use PyTorch or TensorFlow? PyTorch, developed by Meta AI, dominates research, with 60% of published papers ...

ML-Assisted ECG/EKG Anomaly Detection using LSTM Autoencoder. An LSTM Autoencoder is an implementation of an ...

Here is my course on * Modern AI: Applications and Overview ...

What is a Convolutional Neural Network (CNN)? It's a type of AI network used in Machine Learning, particularly in computer vision ...