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This course includes
- 7h 52m of video
- 4 lessons
- Level: Beginner
- Spoken in English
- Your place is remembered
- Free in full, no card
Lessons
1 sections · 4 lessons · 7h 52m total length
Lessons 1 to 44 lessons · 7h 52m
- PyTorch Basics and Gradient Descent | Deep Learning with PyTorch: Zero to GANs | Part 1 of 61h 49m
- PyTorch Images and Logistic Regression | Deep Learning with PyTorch: Zero to GANs | Part 2 of 62h 8m
- Training Deep Neural Networks on a GPU | Deep Learning with PyTorch: Zero to GANs | Part 3 of 61h 51m
- Image Classification with Convolutional Neural Networks | Deep Learning with PyTorch: Zero to GANs |2h 4m
What you need
- No prior experience: this course starts from zero.
Description
“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/ Watch the entire series here: https://www.youtube.com/playlist?list=PLWKjhJtqVAbm5dir5TLEy2aZQMG7cHEZp 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: Introduction to machine learning and Jupyter notebooks PyTorch basics: tensors, gradients, and autograd Linear regression & gradient descent from scratch Using PyTorch modules: nn.Linear & nn.functional 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/compa
Who this course is for
- Anyone starting Machine learning from nothing.
Those two are our reading of the course's level. The description is the author's own.