PinnedTransformer Variant for Anomaly Detection in Sequential DataDetecting behavioral patterns in sequential or time-series datasets is crucial for identifying anomalies, such as cheating in my case…Nov 30, 20232Nov 30, 20232
PinnedAutoEncoder for Abusing DetectionUsing Deep Learning Models to Detect Abusive Behavior in Video GamesApr 27, 2023Apr 27, 2023
PinnedHandling Noisy Label Data with Deep LearningWhen your dataset is coarsely labelled, it isn't easy to actually perform any deep learning techniques on top of such data. The result is…Jul 17, 20221Jul 17, 20221
PinnedBayesian OptimizationIs it really the best hyperparameter tuning method? Comparing it with a grid search, random search, and hyperband searchSep 15, 20211Sep 15, 20211
Demystifying Neural Nets with The Shapley ValueUnboxing The Black Box with The Shapley Value and Game TheoryDec 5, 2021Dec 5, 2021
Demystifying Batch Normalization vs Drop outIs batch normalization really the rule of thumb? Comparing the result with dropout on the CIFAR10 datasetOct 11, 20212Oct 11, 20212
Deep Learning Definition Cheatsheet: Sequence Model versionThis article is for people who already know the basic mechanisms of deep learning and sequence models and want to quickly review the core…Jul 10, 2021Jul 10, 2021
Building an Instagram Scraper in 3 minutesTwitter is the most widely used source to collect texts for sentiment analysis, text classification, and many more for machine learning…Jun 22, 20211Jun 22, 20211
