In this project we have a dataset containing different images of cats and dogs. There are 5000 images of both cats and dogs. We need to use these 10000 images to train the neural network model to predict whether the image is that of a cat or a dog.

Model used: Convolutional Neural Network.

Tools Used: TensorFlow, Keras and Numpy

Language used: Python

Project: To see the project simply open the Jupyter Notebook, "Image Classification Problem.ipynb"

BlogPost: I have written a blog-post on Convolutional Neural Networks, which you can check here.

Try it Yourself: You can download and execute the python file after installing TensorFlow, Keras and Numpy.