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