From the course: Computer Vision on the Raspberry Pi 4
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Creating CNNs with Keras
From the course: Computer Vision on the Raspberry Pi 4
Creating CNNs with Keras
- In this video, we'll move away from OpenCV and look at a package called Keras. Unlike OpenCv, Keras focuses solely on neural networks and it provides a simple API for creating training and running many different types of neural networks. Because of its simplicity, Google hired Keras's creator and incorporated Keras into its TensorFlow package. Today, Keras is the default neural network API in TensorFlow, our usage of Keras will consist of four steps, the first is to create an instance of the Sequential class and to add layers that represent the layers of a neural network. The compile method defines the training process and the fit method, trains the network. Instead of executing the model, we're going to convert it to the TensorFlow Lite format. Then we'll save the model to a file that can be copied to the Raspberry Pi. Each neural network layer corresponds to a Keras class. The two convolution layers are represented by…
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