Chi-Feng WanginTowards Data ScienceAutomatic Differentiation, ExplainedHow Do Computers Calculate Derivatives?Mar 3, 20194Mar 3, 20194
Chi-Feng WanginTowards Data ScienceThe Vanishing Gradient ProblemThe Problem, Its Causes, Its Significance, and Its SolutionsJan 8, 201912Jan 8, 201912
Chi-Feng WanginTowards Data ScienceCalculating Gradient Descent ManuallyPart 4 of Step by Step: The Math Behind Neural NetworksOct 24, 20186Oct 24, 20186
Chi-Feng WanginTowards Data ScienceFinding the Gradient of a Vector FunctionPart 3 of Step by Step: The Math Behind Neural NetworksOct 20, 20181Oct 20, 20181
Chi-Feng WanginTowards Data ScienceHow Do You Find the Partial Derivative of a Function?Part 2 of Step by Step: The Math Behind Neural NetworksSep 1, 2018Sep 1, 2018
Chi-Feng WanginTowards Data ScienceFinding the Cost Function of Neural NetworksPart 1 of Step by Step: The Math Behind Neural NetworksSep 1, 20181Sep 1, 20181
Chi-Feng WanginTowards Data ScienceDifferent Ways of Improving Training AccuracyData augmentation, batch sizes, generating hard data…Reflections from training an emotion recognition model.Aug 16, 20181Aug 16, 20181
Chi-Feng WanginTowards Data ScienceA Basic Introduction to Separable ConvolutionsExplaining spatial separable convolutions, depthwise separable convolutions, and the use of 1x1 kernels in a simple manner.Aug 14, 201849Aug 14, 201849
Chi-Feng WanginTowards Data ScienceWhat’s the Difference Between Haar-Feature Classifiers and Convolutional Neural Networks?Exemplified with an emotion recognition model!Aug 4, 20183Aug 4, 20183
Chi-Feng WanginTowards Data ScienceHow Do You Train a Face Detection Model?The data processing behind the training process as well as a few tips and tricks to improve accuracy!Aug 2, 20183Aug 2, 20183