PyTorch Courses and Certifications

UofU Data Science

Neural Classification with Word Embeddings - PyTorch Tutorial

Master neural classification techniques and word embeddings implementation in PyTorch through hands-on practice with essential deep learning concepts and practical applications.

• YouTube
• 1 hour 23 minutes
• On-Demand
• Free Video

UofU Data Science

PyTorch Tutorial: Deep Learning Framework Fundamentals - Fall 2022

Master PyTorch fundamentals and deep learning concepts, from tensor operations to GPU acceleration, autograd, and data loading - all through hands-on coding examples and practical implementations.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Functional Transforms in PyTorch Using Torch.func

Master functional transforms in PyTorch with torch.func module, covering per-sample-gradients, function vectorization, and model ensembles. Learn practical applications and avoid common pitfalls.

• YouTube
• 29 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Extending PyTorch for Custom Compiler Targets - Accelerator Hardware Integration

Discover how to annotate PyTorch code with custom metadata for optimizing model inference on specialized hardware accelerators, focusing on LPU deployment and performance enhancement.

• YouTube
• 31 minutes
• On-Demand
• Free Video

UofU Data Science

PyTorch Tutorial for Machine Learning - Fall 2023

Master PyTorch fundamentals and essential deep learning concepts through hands-on practice with neural networks, tensors, and gradient-based optimization techniques.

• YouTube
• 36 minutes
• On-Demand
• Free Video

PyTorch Fundamentals

Learn the fundamentals of deep learning with PyTorch! This beginner friendly learning path will introduce key concepts to building machine learning models in multiple domains include speech, vision, and natural language processing.

• Microsoft Learn
• 3 hours 26 minutes
• On-Demand
• Free Online Course

Detecting COVID-19 with Chest X-Ray using PyTorch

333 ratings at Coursera

Learn to build an image classification model using PyTorch to detect COVID-19 from chest X-rays. Gain hands-on experience with ResNet-18 and a radiography dataset for educational purposes.

• Coursera
• 1 hour 50 minutes
• On-Demand
• Paid Course

Deep Learning with PyTorch : Image Segmentation

194 ratings at Coursera

Learn to implement image segmentation using PyTorch, including dataset preparation, augmentation, and training a state-of-the-art CNN model like U-Net for precise object detection and classification.

• Coursera
• 2 hours
• On-Demand
• Paid Course

Deep Learning with PyTorch : Generative Adversarial Network

77 ratings at Coursera

Implement a Deep Convolutional GAN using PyTorch to generate realistic handwritten digits. Create a generator and discriminator, and learn practical aspects of DCGAN implementation and training.

• Coursera
• 2 hours 1 minute
• On-Demand
• Paid Course

Facial Expression Recognition with PyTorch

52 ratings at Coursera

Learn to classify facial expressions using PyTorch, including data augmentation, training loop creation, and model application on input images.

• Coursera
• 1 hour 37 minutes
• On-Demand
• Paid Course

Deep Learning with PyTorch : Object Localization

40 ratings at Coursera

Learn to implement object localization using PyTorch, including dataset preparation, augmentation, and training a CNN to detect and locate objects in images.

• Coursera
• 1 hour 56 minutes
• On-Demand
• Paid Course

Deep Learning with PyTorch : Siamese Network

39 ratings at Coursera

Implement a Siamese Network with PyTorch for person re-identification using Triplet loss function. Learn to create Anchor, Positive, and Negative image datasets and train feature embeddings.

• Coursera
• 2 hours
• On-Demand
• Paid Course

Aerial Image Segmentation with PyTorch

24 ratings at Coursera

Learn to segment aerial images using PyTorch, including dataset preparation, augmentation, model training with UNet, and inference on the Massachusetts Roads dataset.

• Coursera
• 2 hours 4 minutes
• On-Demand
• Paid Course

Deep Learning with PyTorch : GradCAM

17 ratings at Coursera

Implement GradCAM for CNN visualization, creating custom datasets, architectures, and functions. Learn to generate and plot heatmaps for localization in image classification tasks.

• Coursera
• 2 hours
• On-Demand
• Paid Course

Classify Radio Signals with PyTorch

10 ratings at Coursera

Train a CNN in PyTorch to classify radio signals using spectogram images, applying augmentation techniques and creating custom functions for training and evaluation.

• Coursera
• 1 hour 45 minutes
• On-Demand
• Paid Course