PinnedPublished inTDS ArchiveHow Does Back-Propagation Work in Neural Networks?Demonstrating how background works in Neural Networks using an example.Jul 8, 2022A response icon5Jul 8, 2022A response icon5
PinnedPublished inTDS ArchiveHow Back-Propagation Works — A Python Implementation?Implementing Back-Propagation in PythonAug 9, 2022A response icon1Aug 9, 2022A response icon1
PinnedPublished inTDS ArchiveThe Basics of Neural Networks (Neural Network Series) — Part 1Neural NetworksMay 3, 2022A response icon3May 3, 2022A response icon3
PinnedPublished inTDS ArchiveCross-Entropy Loss FunctionA loss function used in most classification problems to optimize machine learning model…Oct 2, 2020A response icon23Oct 2, 2020A response icon23
PinnedPublished inTDS ArchiveCross Validation in Machine LearningLearn cross-validation process and why bootstrap sample has 63.2% of the original dataJul 6, 2021Jul 6, 2021
Published inTDS ArchiveUnderstanding Intersection Over Union for Object Detection (Code)Calculating IoU with Python code.Oct 7, 2023Oct 7, 2023
5 Linux and Mac Commands You Must Know as a Programmer (Part 2)As a programmer, these 5 commands will undoubtedly increase your speed in navigating through your Linux System or Mac. You can also use…Oct 2, 2023A response icon1Oct 2, 2023A response icon1
3 Commands that Every Programmer Must KnowThese commands will make you more productive as a developer. You will also look like a pro LoL!Oct 2, 2023Oct 2, 2023
Published inTDS ArchiveDerivative of Sigmoid and Cross-Entropy FunctionsA step-by-step differentiation of the Sigmoid activation and cross-entropy loss function.Aug 10, 2022A response icon1Aug 10, 2022A response icon1