PinnedPublished inTowards Data ScienceKeras 3.0 Tutorial: End-to-End Deep Learning Project GuideImplement an encoder-decoder recurrent network from scratchMay 183May 183
PinnedPublished inTowards Data ScienceScikit-learn Visualization Guide: Making Models SpeakUse the Display API to replace complex Matplotlib codeMar 213Mar 213
PinnedPublished inTowards Data ScienceCombining Multiprocessing and Asyncio in Python for Performance BoostsUsing a real-world example to demonstrate a map-reduce programMay 4, 20234May 4, 20234
Implementing the train_step Method in Keras 3: From Errors to SolutionsOfficial code example hasn’t kept up with framework updatesSep 3Sep 3
Published inTowards Data ScienceThe Math Behind Keras 3 Optimizers: Deep Understanding and ApplicationThis is a bit different from what the books say.Aug 172Aug 172
Published inTowards Data ScienceVisualizing What Batch Normalization Is and Its AdvantagesOptimizing your neural network training with batch normalizationFeb 31Feb 31
Published inTowards Data ScienceEnsuring Correct Use of Transformers in Scikit-learn PipelineEffective data processing in machine learning projectsDec 20, 2023Dec 20, 2023
Published inTowards Data ScienceHow to Optimize Multidimensional Numpy Array Operations with NumexprA real-world case study of performance optimization in NumpyOct 22, 20232Oct 22, 20232
Published inTowards Data ScienceExploring Numexpr: A Powerful Engine Behind PandasEnhancing your data analysis performance with Python’s Numexpr and Pandas’ eval/query functionsSep 22, 20232Sep 22, 20232
Published inTowards Data ScienceSeaborn 0.12: An Insightful Guide to the Objects Interface and Declarative GraphicsStreamlining your data visualization journey with Python’s popular libraryAug 24, 20232Aug 24, 20232