Deep learning Workshop for Satellite Imagery - Data Processing (Part 1/3)

If your interested into deep learning for the satellite images, this full hands-on coding workshop is best resources for you. The full workshop is divided into following 3 parts: 1. Data Processing for the Satellite Imagery - Data Preparation - Satellite Data Processing 2. Deep Learning with Satellite Image Data - Deep Learning Model Training - Local Debugging - Prediction with model performance 3. Advance Deep Learning with Satellite Image Data - Remote debugging with Weights & Biases - Model Saving and Reloading with custom metrics and loss function - Activation/Gradients outputs with heatmap, - Model Deployment application and Model Serving app on Hugging Face GitHub Resources: - https://github.com/prodramp/DeepWorks/tree/main/DL-SatelliteImagery ▬▬▬▬▬▬ ⏰ TUTORIAL TIME STAMPS ⏰ ▬▬▬▬▬▬ - (00:00) What is it? - (01:45) All 3 Parts Intro - (05:05) Satellite Data Fundamentals - (14:05) Satellite Data Processing in Python - (24:05) Processing Images - (33:40) Patchify Images - (39:10) Normalizing Images - (45:00) Processing Mask Images - (51:35) Rendering Images - (57:00) Processing Labels - (1:04:04) Creating RGB2Label Func - (1:14:30) Creating Training and Test Data - (1:20:05) Source Code at GitHub Connect ------------------ - Prodramp By Avkash (@prodramp) - Website - https://prodramp.com - LinkedIn - https://www.linkedin.com/company/prodramp - GitHub- https://github.com/prodramp/ - AngelList - https://angel.co/company/prodramp - Facebook - https://www.facebook.com/Prodramp Content Creator: Avkash Chauhan (@avkashchauhan) - https://www.linkedin.com/in/avkashchauhan - https://twitter.com/avkashchauhan Tags: #tensorflow #satelliteimagery #deeplearning #keras #prodramp #avkashchauhan