This lesson covers some advanced techniques like data augmentation, regularization, and adding residual layers to convolutional neural networks. We train a state-of-the-art model from scratch in just five minutes. Notebooks used in this lesson:
- ResNets, Regularization & Data Augmentation: https://jovian.ai/aakashns/05b-cifar10-resnet
- Transfer Learning with CNNs: https://jovian.ai/aakashns/transfer-learning-human-protein
- Simple CNN Starter Notebook: https://jovian.ai/aakashns/simple-cnn-starter
- Image Classification with CNNs: https://jovian.ai/aakashns/05-cifar10-cnn
Asking/Answering Questions :
Reply on this thread to ask questions during and after the lecture. Before asking, scroll through the thread and check if your question (or a similar one) is already present. If yes, just like it. During the lecture, we’ll answer 8-10 questions with the most likes. The rest will be answered on the forum. If you see a question you know the answer to, please post your answer as a reply to that question. Let’s help each other learn!