Data Augmentation, Regularization, and ResNets | Deep Learning with PyTorch: Zero to GANs | 5 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 Watch the entire series here: https://www.youtube.com/playlist?list=PLWKjhJtqVAbm5dir5TLEy2aZQMG7cHEZp Code and Resources: πŸ”— Classifying CIFAR10 images using ResNet and Regularization techniques in PyTorch: https://jovian.ai/aakashns/05b-cifar10-resnet
πŸ”— Image Classification using Convolutional Neural Networks in PyTorch: https://jovian.ai/aakashns/05-cifar10-cnn
πŸ”— 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 — 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

Data Augmentation, Regularization, and ResNets | Deep Learning with PyTorch: Zero to GANs | 5 of 6

Data Augmentation, Regularization, and ResNets | Deep Learning with PyTorch: Zero to GANs | 5 of 6

 

 

 

 

 

 

 

 

 

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