This lesson introduces convolutional neural networks (CNNs) that are well-suited for image datasets and computer vision problems. We also cover underfitting, overfitting and techniques to improve model performance. Notebooks used in this lesson:
- Convolutional Neural Networks: https://jovian.ai/aakashns/05-cifar10-cnn
- CIFAR10 Feed Forward Model: https://jovian.ai/aakashns/03-cifar10-feedforward
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!