Easy Cat|Dog Tensorflow Classification - Convolutional Neural Network

In this video, I show how to use Machine Learning with Tensorflow in Python to classify images between cats and dogs. We use convolutional neural networks with convolution, MaxPooling, and Dense layers. We also use Dropout and Image Augmentation to prevent overfitting. In the end, we get ~76% validation accuracy, which is not too bad, but we will see how to improve this in the next video.

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