Hardware role for ML

Continuation from here https://joyantablog.wordpress.com/2025/04/08/neural-network-dive-deeper/ Let’s continue exploring the hardware magic behind long machine learning tasks like training and inference. In my previous post, I discussed how tools like TensorFlow and PyTorch offload resource management and expose optimal approaches through libraries and APIs. This enables you to focus on understanding the methods and functionalities, applying them… Continue reading Hardware role for ML