Namespace NeuralNetworks.Layers
Classes
- Conv1DLayer
Represents a one-dimensional convolutional layer that applies multiple kernels to input data, enabling feature extraction in neural network models.
- EmbeddingLayer
Embedding layer that maps integer indices to dense vectors. Used in Word2Vec and other NLP models.