How to create a neural network using Kotlin DL?

Creating a neural network using Kotlin DL is a straightforward process that follows a step-by-step approach. First, import the necessary dependencies such as Kotlin DL, TensorFlow, and ND4J. Then, define the input and output dimensions based on the data you are working with. Next, construct the model architecture using Kotlin DL's high-level APIs, specifying the number of layers, activation functions, and any other desired configuration. After defining the model, compile it by specifying the optimizer, loss function, and metrics. Finally, train the network by fitting it to the training data using the `fit` function, specifying the number of epochs, batch size, and validation data if necessary. With these steps, you can easily create a neural network using Kotlin DL to solve various machine learning tasks.

This mind map was published on 9 August 2023 and has been viewed 231 times.