Category: Deep Learning

Speed up Inference of your scikit-learn models This article was originally published here. Deep learning frameworks consist of tensors as their basic computational unit. As a result, they can utilize the hardware accelerators (e.g., GPUs), thereby speeding up the model training and inference. However, the traditional machine learning libraries like scikit-learn are developed to run on CPUs … Continue reading Tensors are all you need