— Overall first glance
— Target data (y)
— Removing NaNs
— Outlier removal
— Feature engineering
— Feature selection
Preparing Data for LSTM
— Create Timeseries
— Splitting Data into Train Validation Test Sets
— Normalizing/Standardizing Data
— Reshape and One-Hot-Encode
Using a Simple LSTM…
What are TOPS?
Universal or Specialized? A Comparison
When do I Need Many TOPS?
Hardware accelerators for artificial intelligence have many names. They are known by names such as Neural Accelerator, AI Accelerator, Deep Learning Accelerator, Neural Processing Unit (NPU), Tensor Processing Unit (TPU), Neural…
In this blog will talk in detail about how to create a celebrity-look-alike demo, and how to prepare it for the use on an embedded NPU. If you are only interested how to make a model run on the i.mx8M …
When you want to create a data set to compare your face to the face of celebrities and run it for example on a phyBoard Pollux…
This tutorial explains every step in detail. I know the struggle of pre-assumed knowledge to well.
For the more knowledgeable ones, here is the fast version:
sudo apt-get install blobfuse