# Satellite Analysis Pitch - Applying Depth Estimation Network

I have given this talk on 8th November 2017.

This talk was given before I started working professionally on satellite data - by then I didn’t know many critical concepts, for example, orthorectification and more.

This talk contains:

• playing with Sentinel and Landsat imagery via direct access through AWS
• RGB stacking and manipulation of imagery with ImageMagick
• playing with open NRW LiDAR data
• planning of applying depth estimation

The slides: here

You can find my other technical talks in the github repo hahey/Talks.

# Normalization Techniques in Deep Neural Networks

The note contains the concept of covariance shift and compares the following normalization techniques in deep learning.

• batch normalization
• dropout
• layer normalization
• weight normalization
• skip connection

here is the handwritten note