The deep learning framework PyTorch has infiltrated the enterprise thanks to its relative ease of use. Three companies tell us why they chose PyTorch over Google’s renowned TensorFlow framework.

We used Wav2Letter implementation in NVIDIA OpenSeq2Seq to replace RNN with a CNN architecture. Fig 2: A fully convolutional network for speech to text.

The collaborative work Facebook and Microsoft are announcing helps folks easily convert models built in PyTorch into Caffe2 models.

As neural networks scale to dozens of layers and billions of parameters, Facebook offers greater parallelism for models with PyTorch 1.1.