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 basics of convolutions, the end-to-end process of training a convolutional neural network on a GPU for classifying images of everyday objects. Resources: 🔗 Image Classification with CNNs: https://jovian.ml/aakashns/05-cifar10... 🔗 Discussion forum: https://jovian.ml/forum/t/lecture-4-i... 🔗 Data science competition: https://www.kaggle.com/c/jovian-pytor... 🔗 Competition starter notebook: https://jovian.ml/aakashns/zerogans-p... 🔗 Course project: https://jovian.ml/aakashns/03-cifar10... Topics covered: ⌨️ Working with the 3-channel RGB images from the CIFAR10 dataset ⌨️ Introduction to Convolutions, kernels & features maps ⌨️ Underfitting, overfitting and techniques to improve model performance ⌨️ Building & training a convolutional neural network on a GPU