4.6 out of 5
6 Hours
Intermediate
Machine Learning, Open Source AI, Python, PyTorch, Deep Learning, Lstm
English
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Beginner Guided Project Artificial Intelligence
Getting Started with Machine Learning with PyTorch
PyTorch is a leading open source framework for AI research and commercial production in machine learning. It is used to build, train, and optimize deep learning neural networks for applications such as image recognition, natural language processing, and speech recognition.
4.51.8k+ Enrolled1 Hour -
Beginner Guided Project Machine Learning
Predict stock prices with LSTM in PyTorch
Learn to predict time series data with Long Short-Term Memory (LSTM) in PyTorch. Create a deep learning model that can predict a stock's value using daily Open, High, Low, and Close values and practice visualizing results and evaluating your model. Build foundational skills in machine learning while exploring the LSTM architecture. Develop practical knowledge with this beginner-friendly tutorial and apply it to real-world datasets using PyTorch.
4.6213 Enrolled30 Minutes -
Beginner Guided Project Containers
Deploy a Computer Vision App in a Serverless Environment
Learn how to make your object detection application available to the world by deploying to a serverless environment. Focus on building your app instead of buying, installing or configuring servers.
4.4688 Enrolled -
Intermediate Guided Project Deep Learning
Object detection with Faster R-CNN and PyTorch
Faster R-CNN is a method for object detection that uses region proposal. In this project, you will use Faster R-CNN pre-trained on the COCO dataset. You will learn how to detect several objects by name and to use the likelihood of the object prediction being correct.
4.6957 Enrolled1 Hour -
Intermediate Guided Project Deep Learning
Medical image segmentation with PyTorch and U-Net
Explore biomedical image segmentation in computer vision with PyTorch and U-Net, an architecture also used in Stable Diffusion. Learn to construct a U-Net model using PyTorch's convolutional, max-pooling, and upsampling layers. Through hands-on steps, train your model to automate image segmentation, showcasing the power of deep learning in medical imaging. Perfect for biomedical engineering or data science professionals aiming to enhance diagnostic accuracy.
4.7447 Enrolled30 Minutes -
Intermediate Guided Project Computer Vision
Vision Transformers for Image Classification Hands-on
Up your game in Image classification by using Vision Transformers to achieve remarkable performance, surpassing CNN-based methods, and delivering state-of-the-art results on large image datasets.
4.5367 Enrolled1 Hour -
Intermediate Guided Project Artificial Intelligence
Creating anime characters using DCGANs and PyTorch
Mass production of millions of unique anime characters is nearly impossible for even the most skilled painter, but it becomes feasible with the use of machine learning methods. In this guided project, you will have the opportunity to build machine learning models and generate anime characters on your own. Furthermore, you will explore the Deep Convolutional Generative Adversarial Networks (DCGANs) method, which is specifically designed for large-scale anime production.
4.6584 Enrolled2 Hours