Deep Learning with PyTorch Live Course - ResNet, Regularization and Data Augmentation (Part 5 of 6)

Channel:
United States freeCodeCamp.org
Subscribers:
10,900,000
Published on ● Video Link: https://www.youtube.com/watch?v=sJF6PiAjE1M


Duration: 2:04:51
41,924 views
780

This is a beginner-friendly coding-first online course on PyTorch - one of the most widely used and fastest growing frameworks for machine learning. This video covers the process of applying advanced techniques like residual networks, data augmentation, batch normalization and transfer learning to achieve state of the art results for image classification in a very short time.

Resources:
πŸ”— Classifying CIFAR10 images using a ResNet : https://jovian.ml/aakashns/05b-cifar10-resnet
πŸ”— Transfer learning starter: https://jovian.ml/aakashns/transfer-learning-starter
πŸ”— Discussion forum: https://jovian.ml/forum/t/lecture-5-data-augmentation-regularization-and-resnets/1546
πŸ”— Data science competition: https://www.kaggle.com/c/jovian-pytorch-z2g
πŸ”— Course project: https://jovian.ml/forum/t/assignment-5-course-project/1563

Topics covered:
⌨️ 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 5 minutes

πŸŽ₯ Watch the entire series here: https://www.youtube.com/watch?v=vo_fUOk-IKk&list=PLWKjhJtqVAbm3T2Eq1_KgloC7ogdXxdRa

This course is taught by Aakash N S, Founder & CEO of Jovian.ml - a platform for sharing, showcasing and collaborating on data science projects online.
πŸ”— YouTube: https://youtube.com/jovianml
πŸ”— Twitter: https://twitter.com/jovianml
πŸ”— LinkedIn: https://linkedin.com/company/jovianml

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