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-cnn
? Discussion forum: https://jovian.ml/forum/t/lecture-4-image-classification-with-convolutional-neural-networks/1545
? Data science competition: https://www.kaggle.com/c/jovian-pytorch-z2g
? Competition starter notebook: https://jovian.ml/aakashns/zerogans-protein-competition
? Course project: https://jovian.ml/aakashns/03-cifar10-feedforward
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
? 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.
? YouTube: https://youtube.com/jovianml
? Twitter: https://twitter.com/jovianml
? LinkedIn: https://linkedin.com/company/jovianml
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