buddi.models.components.branches

Functions

Input([shape, batch_size, dtype, sparse, ...])	Used to instantiate a Keras tensor.
build_decoder_branch(sup_inputs, ...[, ...])
build_encoder_branch(inputs, hidden_dim, z_dim)	Defines a single hidden layer encoder that outputs two encodings: mu and log_var.
build_latent_space_classifier(inputs, ...[, ...])	A simple classifier that predicts from the latent space representation.
build_prop_estimator(inputs, num_classes[, ...])	Defines a classifier network that estimates cell type proportion from the input.
build_semi_supervised_decoder(...[, ...])	Defines a decoder network that takes in both supervised and unsupervised inputs.

Classes

Concatenate(*args, **kwargs)	Concatenates a list of inputs.
Dense(*args, **kwargs)	Just your regular densely-connected NN layer.
Model(*args, **kwargs)	A model grouping layers into an object with training/inference features.
ReLU(*args, **kwargs)	Rectified Linear Unit activation function layer.