ViewTube

You know your transformer basics? Let's go over Encoder, Encoder-Decoder, and Decoder only models. If you want to dig deeper ...

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 ...

machinelearning #shorts #deeplearning #chatgpt #neuralnetwork #datascience.

Dont forget to subscribe @krishivnaikvlogs8998.

machinelearning #shorts #deeplearning #chatgpt #neuralnetwork.

shorts #machinelearning #deeplearning.

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

deeplearning #machinelearning #neuralnetwork #chatgpt.

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

machinelearning #deeplearning #shorts.

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 ...