JAX vs NumPy: Since its creation in 2005 as an open source library NumPy managed to rule as the unquestionable favourite math tool among python developers. JAX is the new toy in the box; With overwhelming performance and better fit for deep learning use cases - can it capture the hearts of data scientists around … Continue reading Should I Switch From NumPy to JAX?
Whether running data analysis or training a simple model there are many reasons choose working on a Jupyter Notebooks service on the cloud. Google's offers thee main Cloud-Notebooks products: Vertex AI Workbench, Colab and Deep Learning VMs. What are the differences between them? Which service is better for industry usage and which is more optimal … Continue reading What is the best Cloud Jupyter service on Google?
Overfitting causes serious headaches when training ML/DL models. But in this article, you'll see how just a few lines of code can generate data augmentations and boost your model's performance on the validation set. Additionally, you'll learn how to properly measure the effect of data augmentation using MLflow's experiment tracking. To accomplish the above, we'll … Continue reading Can a couple TensorFlow lines reduce overfitting?