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...

▬▬▬▬▬▬ ⏰ 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
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- Prodramp By Avkash (@prodramp)
- Website - https://prodramp.com
- LinkedIn -   / prodramp  
- GitHub- https://github.com/prodramp/
- AngelList - https://angel.co/company/prodramp
- Facebook -   / prodramp  

Content Creator: Avkash Chauhan (@avkashchauhan)
-   / avkashchauhan  
-   / avkashchauhan  

Tags:
#tensorflow #satelliteimagery #deeplearning #keras #prodramp #avkashchauhan