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Data Augmentation, Regularization, and ResNets | Deep Learning with PyTorch: Zero to GANs | 5 of 6 - freeCodeCamp.org - 深度學習 Deep Learning 公開課 - Cupoy

“Deep Learning with PyTorch: Zero to GANs” is a beginner-friendly online course offering a practical...

“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: • Deep Learning with PyTorch Course - D... Code and Resources: 🔗 Classifying CIFAR10 images using ResNet and Regularization techniques in PyTorch: https://jovian.ai/aakashns/05b-cifar1... 🔗 Image Classification using Convolutional Neural Networks in PyTorch: https://jovian.ai/aakashns/05-cifar10... 🔗 Discussion forum: https://jovian.ai/forum/t/lecture-5-d... 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