Tpu

Photo Credit Introduction Recently I was asked this question (paraphrasing): I have a small image dataset that I want to train on Google Colab and its free TPU. Is there a way to do that without having to upload the dataset as TFRecord files to Cloud Storage? First of all, if your dataset is small, I’d say training on GPU wouldn’t be much slower than on TPU. But they were adamant that they wanted to see how fast training on TPU can be. That’s fine, and the answer is yes. There is a way to do that. ...

Photo by Josh Gordon on Unsplash The new Tensorflow 2.0 is going to standardize on Keras as its High-level API. The existing Keras API will mostly remain the same, while Tensorflow features like eager execution, distributed training and other deeper Tensorflow integration will be added or improved. I think it’s a good time to revisit Keras as someone who had switched to use PyTorch most of the time. ...