InHeadConv3D
- class aixd.mlmodel.architecture.heads.InHeadConv3D(*args: Any, **kwargs: Any)[source]
- Bases: - InHeadConv- Convolutional Network for encoding spatially strucured (MRI- or video-like) data in 3 dimensions. - Parameters:
- in_shape (int) – The shape of the input data. 
- latent_dims (List[int]) – A list of integers representing the dimensions of the latent space. The length of the sequence defines the number of layers. 
- activation (Union[nn.Module, str]) – The activation function to use. 
- attn_block_indices (List[int], optional, default=[]) – Sequence of indices where to insert an attention layer in the encoding blocks. 
 
 - Inherited Methods