Metadata-Version: 2.1
Name: denseblock
Version: 1.0
Summary: Keras Extended Dense Layer
Home-page: https://github.com/ElPapi42/DenseBlock
Author: Whitman Bohorquez
Author-email: whitman-2@hotmail.com
License: UNKNOWN
Download-URL: https://github.com/ElPapi42/DenseBlock/archive/v1.0.tar.gz
Keywords: Keras,Model,Plug And Play
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: tensorflow-gpu

Dense Block

Keras Extended Dense Layer, Features Batch Normalization, Dropout and Dense layers, in that order, Created for convenient building of Complex Networks.

Args:
  units (int): Number of units on Dense Layer
  activation (str): Activation of Dense layer, default="relu"
  dropout (float): % of inputs to drop from Batch Normalization Layer
  l2 (float): Strenght of L2 regularization on Dense Layer

Call:
  inputs (float): Rank-2 Tensor of shape [Batch_Size, Input_Size]

Return:
  Rank-2 Tensor of shape [Batch_Size, units]


