Building our first Convolutional Neural Networks in Keras step by step

Welcome to Keras tutorial. In this tutorial we will:
1. Learn to use Keras, a high-level neural networks API (programming framework), written in Python and capable of running on top of several lower-level frameworks including TensorFlow.
2. See how you can in a couple of hours build a classification algorithm.

Why are we using Keras? Keras was developed to enable deep learning engineers to build and experiment with different models very quickly. Just as TensorFlow is a higher-level framework than Python, Keras is an even higher-level framework and provides additional abstractions. Being able to go from idea to result with the least possible delay is key to finding good models. However, Keras is more restrictive than the lower-level frameworks, so there are some very complex models that you can implement in TensorFlow but not (without more difficulty) in Keras. That being said, Keras will work fine for many common models.

In this tutorial part, we'll work on the Cats vs Dogs classification problem.

Text version tutorial: https://pylessons.com/Tensorflow-Kera...
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