Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

According to Lex Fridman, major open source projects such as Linux, PyTorch, TensorFlow, and open-weight large language models (LLMs) are foundational to the current AI ecosystem, enabling rapid ...

Abstract: This paper presents the design of a framework for loading a pre-trained model in PyTorch on embedded devices to run local inference. Currently, TensorFlow Lite is the most widely used ...

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...

Abstract: With an emphasis on convolutional neural networks (CNNs), this research does a thorough analysis of the effectiveness and suitability of the TensorFlow and PyTorch frameworks for image ...

It would be nice to know exactly on which versions of pytorch and tensorflow these tutorials were tested. Also, do you use tensorflow ? by looking at the code it does seems so..