Daniel AngelovinTowards Data ScienceMaking models more robust more efficientlyDeploying ML models to the real world is prone to uncover domain coverage issues. Let’s robustify the models by generating unseen data!Jul 23, 20211Jul 23, 20211
Daniel AngelovinTowards Data ScienceWhy don’t we test machine learning like we test software?Let’s make ML models more robust by taking inspiration from modern software testing! A new way to confidently improve your models.Jun 24, 2021Jun 24, 2021
Daniel AngelovVisual explanation of tensor operationsWhen you start your machine learning journey, you are very early on hit by new terminology. So let’s see what are tensors and what can we…Apr 5, 2021Apr 5, 2021
Daniel AngelovFree tools to visualize your computational graphCreating neural networks often involves debugging the structure, sequence and loss functions used in different parts of the model. What is…Mar 19, 2021Mar 19, 2021
Daniel AngelovWhat actually happens when you transfer a model to a custom dataset?See visually what needs to be altered in the model and how it impacts further training.Mar 11, 2021Mar 11, 2021
