Python Simple Multiclass TensorFlow computer vision dessert food classification guided project
In this Simple Computer Vision guided project in TensorFlow using Python we will build a deep learning model to classify whether a dessert is an Apple Pie, French Toast, Donuts, or Cheesecake. In the near future, a company is building a machine to automate serving food to customers. The problem is that the Ai needs to be able to tell what food serving it is serving to customers.
Follow along in the Simple Python Guided Project Multiclass Computer Vision and classify which dessert is in the images. In the deep learning project, we will use the Sequential model in TensorFlow. To our Sequential model, we will add a set of two Convolutional layers. Convolutional layers tend to work well as pairs. Each convolution is followed with max-pooling layers and drop-out layers. We use max pooling because it was the same effect as sharpening images in a simple photo editor. These are following my dropout layers to prevent overfitting.
The convolutional section of our neural network is followed by a dense fully connected layer and another dropout layer to prevent overfitting. Our deep learning computer vision model with have a dense layer as its output layer with 4 neurons and the softmax activation function which is the required format for multi-classification problems in TensorFlow.
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