https://bergstrom.org/tags/tensorflow/TensorFlow - Tag - Jorgen BergstromHugo -- gohugo.ioen-usJorgen BergstromTue, 28 May 2024 00:00:00 -0500https://bergstrom.org/posts/nn_hammer_distance_tensorflow/Tue, 28 May 2024 00:00:00 -0500Jorgen Bergstromhttps://bergstrom.org/posts/nn_hammer_distance_tensorflow/Summary The Keras Sequential model is a simple and straightforward way to build neural networks in Keras, a high-level neural networks API running on top of TensorFlow. The Sequential model allows you to stack layers sequentially, meaning each layer has exactly one input tensor and one output tensor. You start by creating an instance of the Sequential model, then add layers to it one by one. Each layer, such as Dense (fully connected), Convolutional, or LSTM (Long Shor-Term Memory), is added using the add method.