Make your model faster on CPU using ONNX
How to speed up a Tensorflow model by 200%? Machine learning models nowadays require more and more compute power. According to a study from OpenAI, the compute power needed to train AI models is rising ever since it was first used in the 60’s. With the required compute power doubling every two years up until […]
Training a Tensorflow model on UbiOps
In this blog post we will give you an overview on how to create a training job and run it in the cloud using UbiOps. This structure can be used for pretty much all frameworks like Tensorflow, Keras, Pytorch, Scikit Learn and others.
What is ONNX?
Some time ago I wrote an article about comparing the performance of the TensorFlow runtime versus the ONNX runtime. In that article I showed how to improve inference performance greatly by simply converting a TensorFlow neural network to ONNX and running it using the ONNX runtime. I didn’t explain what ONNX actually is, this article […]