This is a beginner-friendly coding-first online course on PyTorch – one of the most widely used and fastest growing frameworks for machine learning. This video covers techniques for working with images in PyTorch, the importance of creating training, validation & test sets, the process of creating & training an image classification model using Logistic regression and more.

? Logistic regression (detailed):
? Linear Regression (minimal starter):
? Logistic Regression (minimal starter):
? Discussion forum:
? Programming Assignment:

Topics covered:
?? Working with images from the MNIST dataset
?? Creating training, validation and test sets
?? Softmax and categorical cross entropy loss function
?? Model training, evaluation and sample predictions

? Watch the entire series here:

This course is taught by Aakash N S, Founder & CEO of – a platform for sharing, showcasing and collaborating on data science projects online.
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