DigitalSreeni Courses

Edge Filters for Image Processing

1 review

Edge filters for image processing: Learn Roberts, Sobel, Prewitt, and Canny filters. Practical Python implementation for emphasizing edges in images. Suitable for various applications.

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

Introduction to Image Processing Using Scikit-Image in Python

1 review

Learn essential image processing techniques using scikit-image in Python, including resizing, edge detection, and segmentation for microscopy-based assays like wound healing.

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

Denoising 3D Multi-Channel Scientific Images Using Noise2Void Deep Learning Approach

Learn to denoise 2D and 3D multichannel scientific images using Noise2Void deep learning, focusing on CZI files from ZEISS microscopes. Explore implementation, training, and practical applications for improved image quality.

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

Denoising RGB Images Using Deep Learning - Noise2Void

Learn to denoise RGB images using Noise2Void deep learning technique, focusing on implementation, data preparation, and model training for improved image quality without clean data.

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

How to Get Started with Data Science and Machine Learning

Explore the fundamentals of data science, analytics, AI, and machine learning. Learn essential skills and create a structured learning plan for these in-demand fields.

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

An Introduction to Object Segmentation Using StarDist Library in Python

Learn object segmentation using StarDist in Python for star-convex shapes in 2D and 3D. Covers installation, implementation, and HD image segmentation with practical examples.

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

Processing Whole Slide Images as Tiles

Efficient processing of whole slide images using OpenSlide, including H&E normalization and signal separation. Demonstrates tile extraction, processing, and saving for large-scale histopathology analysis.

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

Labeling Images for Semantic Segmentation Using Label Studio

Learn to label images for semantic segmentation using Label Studio, covering installation, project setup, annotation, and exporting in this practical tutorial.

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

Semi-Supervised Learning with GANs in Keras

Explore semi-supervised learning with GANs in Keras, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.

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

Semi-Supervised Learning with GANs

Explore semi-supervised learning with GANs, focusing on training discriminators as classifiers using limited labeled data for improved accuracy compared to traditional CNNs.

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

Single Image Super Resolution Using SRGAN

Explore single image super-resolution using SRGAN, covering key concepts, perceptual loss, content loss, and network architectures for enhanced image quality.

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

Unpaired Image to Image Translation Using CycleGAN - An Introduction

Introduction to CycleGAN for unpaired image-to-image translation, covering key concepts, architecture, and training process. Explores discriminator and generator components, focusing on PatchGAN and instance normalization.

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

Image to Image Translation Using Pix2Pix GAN

Learn image-to-image translation using Pix2Pix GAN, exploring key concepts, generator and discriminator architectures, and practical applications in satellite imagery and scientific image generation.

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

COVID Vaccine Analysis Using Pandas in Python

Analyze COVID vaccination data using pandas in Python, covering data reading, daily and overall analysis, and visualization with Plotly.

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

Pre-Training U-Net Using Autoencoders - Autoencoders and Visualizing Features

Explore autoencoders, image reconstruction, and feature visualization in deep learning models through hands-on coding examples and practical demonstrations.

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