Last Updated on November 28, 2022 Linear regression is a statistical technique for estimating the relationship between two variables. A simple example of linear regression
Last Updated on November 29, 2022 Linear regression is a simple yet powerful technique for predicting the values of variables based on other variables. It
Last Updated on November 29, 2022 The gradient descent algorithm is one of the most popular techniques for training deep neural networks. It has many
Last Updated on November 23, 2022 In machine learning and deep learning problems, a lot of effort goes into preparing the data. Data is usually
Last Updated on November 23, 2022 Structuring the data pipeline in a way that it can be effortlessly linked to your deep learning model is
Last Updated on November 15, 2022 PyTorch is an open-source deep learning framework based on Python language. It allows you to build, train, and deploy
Last Updated on November 15, 2022 Two-dimensional tensors are analogous to two-dimensional metrics. Like a two-dimensional metric, a two-dimensional tensor also has $n$ number of
Last Updated on November 15, 2022 Derivatives are one of the most fundamental concepts in calculus. They describe how changes in the variable inputs affect
Last Updated on November 2, 2022 We have arrived at a point where we have implemented and tested the Transformer encoder and decoder separately, and
Last Updated on November 2, 2022 We have put together the complete Transformer model, and now we are ready to train it for neural machine