This Jupyter notebook explores the intricacies of deep learning model parameters, the impact of activation functions, batch size variations, and learning rate adjustments on model performance. The ...

Microsoft has open sourced "ONNX Script," a library for authoring machine learning models in Python. While Python has long been recognized as a go-to programming language for data science and is often ...

FCN implementation: This article shows how to create a set of non-linearly separable data and how to implement a FCN from scratch using numpy: linear layers, activation functions, loss and training ...

While IntelliSense provided a pop-up list of possible options for you to accept or not -- such as list members, parameter ... Learning and ONNX Runtime, we have successfully shipped the first deep ...