“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:
? Classifying CIFAR10 images using ResNet and Regularization techniques in PyTorch: https://jovian.ai/aakashns/05b-cifar10-resnet
? Image Classification using Convolutional Neural Networks in PyTorch: https://jovian.ai/aakashns/05-cifar10-cnn
? Discussion forum: https://jovian.ai/forum/t/lecture-5-data-augmentation-regularization-and-resnets/13772
Topics covered in this video:
* Improving the dataset using data normalization and data augmentation
* Improving the model using residual connections and batch normalization
* Improving the training loop using learning rate annealing, weight decay, and gradient clip
* Training a state of the art image classifier from scratch in 10 minutes
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
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