[freeCodeCamp] Cat and Dog CNN Classifier Jupyter Notebook

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Cat and Dog Image Classifier using CNN for freeCodeCamp ML with Python certification

Cat and Dog Image Classifier using TensorFlow/Keras CNN. Achieves 70%+ accuracy with data augmentation. Classifies images as cats or dogs. FreeCodeCamp machine learning certification project.

Cat and Dog Image Classifier: This project implements a convolutional neural network (CNN) to classify images of cats and dogs, developed as part of the freeCodeCamp Machine Learning with Python certification.

The Cat and Dog Image Classifier project from freeCodeCamp is part of their Machine Learning with Python curriculum. It teaches how to build a Convolutional Neural Network (CNN) to classify images of cats and dogs using TensorFlow and Keras.

This project is a Cat and Dog Image Classifier built with TensorFlow 2.0 and Keras as part of the freeCodeCamp Machine Learning with Python certification. The goal was to develop a Convolutional Neural Network (CNN) capable of distinguishing between images of cats and dogs with a minimum accuracy of 63%