Tensorflow

In the last article I talked about the course I took at Coursera. This time I'm going to talk about another specialization: [Advanced Machine Learning with TensorFlow on Google Cloud Platform]([https://www.coursera.org/specializations/advanced-machine-learning-tensorflow-gcp).

In this article, I'm going to cover the usage of TensorFlow 2 and tf.data on a popular semantic segmentation 2D images dataset: ADE20K. This code is now runnable on colab.

I'm continuing to take notes about my mistakes/difficulties using TensorFlow. I had Keras ImageDataGenerator that I wanted to wrap as a tf.data.Dataset. I couldn't adapt the documentation to my use case. Here is a concrete example for image classification.

I had some trouble using TensorFlow 2.0 with my GPU without using Docker. Sometimes my cuda version is not compatible with the TensorFlow build, other times it's about cudnn ... Using Anaconda makes your life easier!