def get_1dconvs_maxpool_freq_deep( x_in, kernel_size=2):
    p=0.0
    x = BatchNormalization()(x_in)


    x = Conv1D(64,kernel_size,padding='same')(x)
    x = batch_relu(x)
    x = Conv1D(64,kernel_size,padding='same')(x)
    x = batch_relu(x)


    x = Dropout(p/2)(x)
    x  = MaxPooling1D(2)(x)



    x = Conv1D(128,3,padding='same')(x)
    x = batch_relu(x)
    x = Conv1D(128,3,padding='same')(x)
    x = batch_relu(x)

    x = Dropout(p/2)(x)
    x  = MaxPooling1D(2)(x)


    x = Conv1D(128,3,padding='same')(x)
    x = batch_relu(x)
    x = Conv1D(128,3,padding='same')(x)
    x = batch_relu(x)

    x = Dropout(p/2)(x)
    x  = MaxPooling1D(2)(x)


    x = Conv1D(128,3,padding='same')(x)
    x = batch_relu(x)
    x = Conv1D(128,3,padding='same')(x)
    x = batch_relu(x)

    x = Dropout(p/2)(x)
    x  = AveragePooling1D(2)(x)


    x_max = GlobalMaxPooling1D()(x)
    return x_max