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@qmeeus
qmeeus / layers_tied.py
Created April 5, 2019 09:46 — forked from dswah/layers_tied.py
Tied Convolutional Weights with Keras for CNN Auto-encoders
from keras import backend as K
from keras import activations, initializations, regularizers, constraints
from keras.engine import Layer, InputSpec
from keras.utils.np_utils import conv_output_length
from keras.layers import Convolution1D, Convolution2D
import tensorflow as tf
class Convolution1D_tied(Layer):
'''Convolution operator for filtering neighborhoods of one-dimensional inputs.
When using this layer as the first layer in a model,
import numpy as np
import torch
import torch.nn as nn
from sklearn import metrics
from skorch import NeuralNet
from skorch.callbacks import EarlyStopping, EpochScoring, LRScheduler
from torch.utils.data import DataLoader, Dataset