Learn how backpropagation works using automatic differentiation in Python. Step-by-step implementation from scratch. #Backpropagation #Python #DeepLearning ...

Abstract: We present an automated fault localization technique that can assist developers to localize effectively faults in Python programs. The proposed method uses spectrum-based fault localization ...

Forbes contributors publish independent expert analyses and insights. William Arruda covers personal branding, leadership, and careers. It’s rare to have a job title that no one else shares. The King ...

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you ...

Understanding how convolutional neural networks (CNNs) operate is essential in deep learning. However, implementing these networks, especially convolutions and gradient calculations, can be ...

This repository holds the python modules of the data processing pipeline for the automated cell culture platform. The hiPSCs are cultivated for expansion and differentiation into brain microvascular ...

Variety is the spice of life. But there is something innate within us all that seems to oppose this principle. Call it a function of the reptilian brain, or simply a subconscious bias, but the fact of ...

Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia, Iskandar Puteri, Malaysia. 1) What are the factors that influence the implementation of differentiated instruction in English ...