Advance Deep learning Workshop for Satellite Imagery - Model Export & Production (Part 3/3)

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) Content Starts
• (02:00) What is covered?
• (07:10) Tutorial Starts
• (07:00) Tutorial Starts
• (07:20) Remote Debugging
• (16:10) Model Save/Retrieve
• (22:30) Prediction with custom image
• (26:50) Activation Output
• (34:10) Activation Heatmap
• (38:38) Prediction app
• (39:45) App Code at Colab
• (44:00) Gradio UI
• (56:00) Hugging Face Deployment
• (1:00:20) 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 ... https://www.youtube.com/watch?v=i40ulpcacFM