When deploying large-scale deep learning applications, C++ may be a better choice than Python to meet application demands or to optimize model performance. Therefore, I specifically document my recent ...

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

IBM Research has contributed code to the open-source PyTorch machine learning project that could help to significantly accelerate training.

The program works by reading a Python script as an input file, setting up a few parameters, then making a request to OpenAI’s Codex API for the conversion. It then attempts to compile the result.

The evolution of PyTorch Early on, academics and researchers were drawn to PyTorch because it was easier to use than TensorFlow for model development with graphics processing units (GPUs).

Describe the bug I have trained a custom FasterRCNN model using PyTorch (docs) and converted it to ONNX. Up to here everything ran ok. Converting from ONNX to Tensorflow is the real issue here. Whe ...

TensorFlow introduces the PluggableDevice architecture, which seamlessly integrates accelerators (GPUs, TPUs) with TensorFlow without making any changes in the TensorFlow code. PluggableDevice, as the ...