machine learning using python & tensorflow
Train a classifier to identify the dog and the cat.
Used Machine Learning and Neural Networking to create a classifier to classify images as cats and dogs
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
A CNN trained to distinguish between images of dogs and cats.
Machine Learning with Python solutions
Using SeparableConv2D, BatchNormalization, GlobalAveragePooling2D, and data augmentation to build a classifier whose accuracy is 0.96.
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