Is it a five written in a hurry? Or is it a three with a touch of Asian calligraphy? Inquiring minds want to know.
To me it looks like a three, but I can flip a mental switch and it looks like nothing other than a five.
Along the way I became a fan of PyTorch, and switched to it from TensorFlow.
But the stuff I see in the alpha version of TensorFlow 2.0 is pretty neat—in particular the explicit representation of differentiation in tf.GradientTape and the economy of expression afforded by tf.function.
Someday maybe I will be able to write machine learning models directly in NumPy, without the dialectal distractions of PyTorch, and with gradients just where I want them as with TF2. Will it come to pass?
PS: My model thinks it is a three also.