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#pragma once
#include "fdeep/layers/layer.hpp"
#include <string>
#include <functional>
namespace fdeep
{
namespace internal
// Copyright 2016, Tobias Hermann.
// https://github.com/Dobiasd/frugally-deep
// Distributed under the MIT License.
// (See accompanying LICENSE file or at
// https://opensource.org/licenses/MIT)
#define DOCTEST_CONFIG_IMPLEMENT_WITH_MAIN
#include "doctest.h"
#include <Eigen/Core>
import numpy as np
from keras.layers import Dense, Dropout, Activation, Flatten
from keras.layers import Conv1D, Conv2D, MaxPooling2D, MaxPooling1D, AveragePooling2D, GRU
from keras.layers import TimeDistributed, Bidirectional
from keras.layers.recurrent import LSTM
from keras.models import Sequential
def sigmoid(z):
s = 1.0 / (1.0 + np.exp(-1.0 * z))
return s