#A.I. Last Updated on January 10, 2023 A neural network is a set of neuron nodes that are interconnected with one another. The neurons are not just connected to their adjacent neurons but also to the ones that are farther away. The main idea behind...
Monday, January 9, 2023
Saturday, December 31, 2022
Introduction to Softmax Classifier in PyTorch #AI
#A.I. Last Updated on January 1, 2023 While a logistic regression classifier is used for binary class classification, softmax classifier is a supervised learning algorithm which is mostly used when multiple classes are involved. Softmax classifier ...
Friday, December 30, 2022
Training Logistic Regression with Cross-Entropy Loss in PyTorch #AI
#A.I. Last Updated on December 30, 2022 In the previous session of our PyTorch series, we demonstrated how badly initialized weights can impact the accuracy of a classification model when mean square error (MSE) loss is used. We noticed that the mo...
Initializing Weights for Deep Learning Models #AI
#A.I. Last Updated on December 30, 2022 In order to build a classifier that accurately classifies the data samples and performs well on test data, you need to initialize the weights in a way that the model converges well. Usually we randomized the ...
Friday, February 11, 2022
Calculating Derivatives in PyTorch #AI
#A.I. Last Updated on February 8, 2022 Derivatives are one of the most fundamental concepts in calculus. They describe how changes in the variable inputs affect the function outputs. The objective of this article is to provide a high-level introduc...
Friday, December 31, 2021
One-Dimensional Tensors in Pytorch #AI
#A.I. PyTorch is an open-source deep learning framework based on Python language. It allows you to build, train, and deploy deep learning models, offering a lot of versatility and efficiency. PyTorch is primarily focused on tensor operations while ...