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.
Resources:
? Logistic regression (detailed): https://jovian.ml/aakashns/03-logistic-regression
? Linear Regression (minimal starter): https://jovian.ml/aakashns/housing-linear-minimal
? Logistic Regression (minimal starter): https://jovian.ml/aakashns/mnist-logistic-minimal
? Discussion forum: https://jovian.ml/forum/t/lecture-2-working-with-images-logistic-regression/1542
? Programming Assignment: https://jovian.ml/forum/t/assignment-2-train-your-first-model/1560
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: https://www.youtube.com/watch?v=vo_fUOk-IKk&list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa
This course is taught by Aakash N S, Founder & CEO of Jovian.ml – a platform for sharing, showcasing and collaborating on data science projects online.
? YouTube: https://youtube.com/jovianml
? Twitter: https://twitter.com/jovianml
? LinkedIn: https://linkedin.com/company/jovianml
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