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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 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news
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