PyTorch Images and Logistic Regression | Deep Learning with PyTorch: Zero to GANs | Part 2 of 6

PyTorch Images and Logistic Regression | Deep Learning with PyTorch: Zero to GANs | Part 2 of 6

“Deep Learning with PyTorch: Zero to GANs” is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Learn more and register for a certificate of accomplishment here: http://zerotogans.com/

Code and Resources:
PyTorch basics: https://jovian.ai/aakashns/01-pytorch-basics
Linear regression: https://jovian.ai/aakashns/02-linear-regression
Machine learning: https://jovian.ai/aakashns/machine-learning-intro
Discussion forum: https://jovian.ai/forum/c/pytorch-zero-to-gans/lecture-1-pytorch-basics-linear-regression/63

Topics covered in this video:

Training-validation split on the MNIST dataset
Logistic regression, softmax & cross-entropy
Model training, evaluation & sample predictions

This course is taught by Aakash N S, co-founder & CEO of Jovian – a data science platform and global community.
– YouTube: https://youtube.com/jovianml
– Twitter: https://twitter.com/jovianml
– LinkedIn: https://linkedin.com/company/jovianml

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

And subscribe for new videos on technology every day: https://youtube.com/subscription_center?add_user=freecodecamp

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