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Image Recognition with Keras
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In this tutorial, we will use a neural network model for image recognition. We get our data from Kaggle's dogs-vs-cats competition and use Keras, an easy to use python library for deep learning, to train our model to classify images.

We will go over the following topics:

  1. How to use a convolutional neural network model already trained on different set of images and change it to make it suitable for our own use.
  2. How to work with Keras, create batches of images, train and evaluate the accuracy of the image recognition model.
  3. Building blocks of the image classification model including convolutional and fully connected layers.

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