dnn dev flow

Edge AI: Deep Neural Network Model Training and Deployment Process

The process of training and deploying a Deep Neural Network model to a target device can be divided into the following phases

  1. Identify and Download the Model source
  2. Train the model on a Host with GPUs
  3. Fine-tune the model
  4. Quantize the model for Target Device
  5. Deploy the model to the target device

Leave a Comment

Your email address will not be published. Required fields are marked *