About this document
Dogs vs Cats Image Classification Model by OussamaHajSalem is a document available to read on EtoBox.
The document outlines a machine learning project using TensorFlow to classify images of dogs and cats. It describes the process of loading image datasets, creating a convolutional neural network model, and training the model with specified parameters. The model architecture includes several convolutional and pooling layers, followed by dense layers, and is compiled with binary cross-entropy loss for binary classification.
- Author
- OussamaHajSalem
- Language
- EN