TensorFlow meets PyTorch with Eager execution.

Port imperative code

  • torch.sum -> tf.reduce_sum”
  • array.T -> tf.transpose(array)
  • etc

Use existing graph-based code

Do more things with gradients.

Performance

Conclusion

--

--

--

Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Security Detections on Windows Events with Recurrent Neural Networks

Behavior Sequence Transformer

Computer Vision: Introduction of Convolutional Neural Network and VGGNet

Image result for artificial neural network

Neural Network Backward propagation and parameters update

A simple approach creating a dog breed classifier with ResNet

Neural Networks Demystified

Machine Learning Concepts: K-means Clustering.

Deep Learning Casting a Net on Health Care

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Yaroslav Bulatov

Yaroslav Bulatov

asdf

More from Medium

Understand collate_fn in PyTorch

How to Deploy Tensorflow Models in C++ in 3 different ways

Tesseract Character recognition without training model

Pytorch 101 — Dataset & Dataloader