This course on Deep Learning with PyTorch aims to teach learners about tensors, gradient descent, linear regression, working with images, logistic regression, training deep neural networks on GPUs, image classification with CNNs, ResNet, regularization, data augmentation, and GANs for image generation. The course utilizes a live format and spans over 12 hours, catering to individuals interested in deep learning and PyTorch.
Overview
Syllabus
Deep Learning with PyTorch Live Course - Tensors, Gradient Descent & Linear Regression (Part 1 of 6).
Deep Learning with PyTorch Live Course - Working with Images & Logistic Regression (Part 2 of 6).
Deep Learning with PyTorch Live Course - Training Deep Neural Networks on GPUs (Part 3 of 6).
Deep Learning with PyTorch Live Course - Image Classification with CNNs (Part 4 of 6).
Deep Learning with PyTorch Live Course - ResNet, Regularization and Data Augmentation (Part 5 of 6).
Deep Learning with PyTorch Live Course - GANs for Image Generation (Part 6 of 6).
Taught by
freeCodeCamp.org
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Reviews
4.0 rating, based on 1 Class Central review
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Areej Mehboob EB2017 (2017)It's an excellent course for beginners, thoroughly covering a wide range of machine learning topics. It includes practical aspects such as GPU usage, making it a comprehensive introduction to the field.
