Deep Learning with PyTorch Live Course - Image Classification with CNNs (Part 4 of 6)

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Published on June 13, 2020 5:44:16 PM ● Video Link: https://www.youtube.com/watch?v=TN9fMYQxw4E

Duration: 2:04:30

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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

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