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

Curriculum for the course 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: Logistic regression: https://jovian.ai/aakashns/03-logistic-regression Image Classification with Logistic Regression: https://jovian.ai/aakashns/mnist-logistic-minimal House Price Prediction: https://jovian.ai/aakashns/housing-linear-minimal Discussion forum: https://jovian.ai/forum/c/pytorch-zero-to-gans/lecture-2-working-with-images-logistic-regress/64 Topics covered in this video: * Working with images from the MNIST dataset * Training and validation dataset creation * Softmax function and categorical cross entropy loss * Model training, evaluation, and 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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