Image Classification With TensorFlow 2.0 ( Without Keras )

Image Classification is one of the fundamental supervised tasks in the world of machine learning. TensorFlow's new 2.0 version provides a totally new development ecosystem with Eager Execution enabled by default. By me, I assume most TF developers had a little hard time with TF 2.0 as we were habituated to use tf.Session and tf.placeholder that we can't imagine TensorFlow without. Today, we start with simple image classification without using TF Keras, so that we can take a look at the new API changes in TensorFlow 2.0 You can take a look at the Colab notebook for this story. We need to play around with the low-level TF APIs rather than input pipelines.