Dogs vs. Cats: Image Classification with Deep Learning using TensorFlow in Python

Given a set of labeled images of cats and dogs, a machine learning model is to be learnt and later it is to be used to classify a set of new images as cats or dogs. Cats As a pre-processing step, all the images are first resized to 50 50 pixel images. As shown above, the test accuracy is quite poor with a few sophisticated off-the-self classifiers. Now let's first train a logistic regression and then a couple of neural network models by introducing L2 regularization for both the models. Clearly, the model learnt above overfits the training dataset, the test accuracy improved a bit, but still quite poor.