Advent of Code 2023 – Day 1
I'm trying to solve all the Advent of Code puzzles in this video series.
We look closely at how to run the evaluation in windows and evaluate the result in Tensorboard.
We look at an example from ml5js to load images and predict them
We talk about what is going to happen going forward for java and OpenJDK.
In this video we will convert Pytorch model to Tensorflow using (Open Neural Network Exchange) ONNX. ONNX is a standard format supported by a community of partners such as Microsoft, Amazon and IBM. PyTorch is mainly maintained by Facebook and Tensorflow is built in collaboration with Google.
We use JCuda to run some workloads on the GPU and see the difference in speed.
We use an easy method to retrain a pre-trained model for object classification. Transfer learning is an easy and quick method to retrain a model for good classification of objects.