Deep Learning with PyTorch Live Course - Working with Images & Logistic Regression (Part 2 of 6)

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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Видео Deep Learning with PyTorch Live Course - Working with Images & Logistic Regression (Part 2 of 6) канала freeCodeCamp.org