We pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
Featured in deepsense.ai blog post Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning, in which we discuss the differences. Code is in two Jupyter Notebooks:
See also the upcoming webinar (10 Oct 2018), in which we walk trough the code.
For plug&play interactive code, see the Neptune versions with fancy charts or these Kaggle Kernels:
See also: Alien vs. Predator images | Kaggle. In general, there are 447 images for each class, split into two classes. Examples:
If you want to run the code, see the requirements: