path: "tensorflow.layers" tf_module { member_method { name: "average_pooling1d" argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " } member_method { name: "average_pooling2d" argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " } member_method { name: "average_pooling3d" argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " } member_method { name: "batch_normalization" argspec: "args=[\'inputs\', \'axis\', \'momentum\', \'epsilon\', \'center\', \'scale\', \'beta_initializer\', \'gamma_initializer\', \'moving_mean_initializer\', \'moving_variance_initializer\', \'beta_regularizer\', \'gamma_regularizer\', \'training\', \'trainable\', \'name\', \'reuse\', \'renorm\', \'renorm_clipping\', \'renorm_momentum\', \'fused\'], varargs=None, keywords=None, defaults=[\'-1\', \'0.99\', \'0.001\', \'True\', \'True\', \'\', \'\', \'\', \'\', \'None\', \'None\', \'False\', \'True\', \'None\', \'None\', \'False\', \'None\', \'0.99\', \'False\'], " } member_method { name: "conv1d" argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'1\', \'valid\', \'channels_last\', \'1\', \'None\', \'True\', \'None\', \'\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " } member_method { name: "conv2d" argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'None\', \'True\', \'None\', \'\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " } member_method { name: "conv2d_transpose" argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " } member_method { name: "conv3d" argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'(1, 1, 1)\', \'None\', \'True\', \'None\', \'\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " } member_method { name: "conv3d_transpose" argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1, 1)\', \'valid\', \'channels_last\', \'None\', \'True\', \'None\', \'\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " } member_method { name: "dense" argspec: "args=[\'inputs\', \'units\', \'activation\', \'use_bias\', \'kernel_initializer\', \'bias_initializer\', \'kernel_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'None\', \'True\', \'None\', \'\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " } member_method { name: "dropout" argspec: "args=[\'inputs\', \'rate\', \'noise_shape\', \'seed\', \'training\', \'name\'], varargs=None, keywords=None, defaults=[\'0.5\', \'None\', \'None\', \'False\', \'None\'], " } member_method { name: "max_pooling1d" argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " } member_method { name: "max_pooling2d" argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " } member_method { name: "max_pooling3d" argspec: "args=[\'inputs\', \'pool_size\', \'strides\', \'padding\', \'data_format\', \'name\'], varargs=None, keywords=None, defaults=[\'valid\', \'channels_last\', \'None\'], " } member_method { name: "separable_conv2d" argspec: "args=[\'inputs\', \'filters\', \'kernel_size\', \'strides\', \'padding\', \'data_format\', \'dilation_rate\', \'depth_multiplier\', \'activation\', \'use_bias\', \'depthwise_initializer\', \'pointwise_initializer\', \'bias_initializer\', \'depthwise_regularizer\', \'pointwise_regularizer\', \'bias_regularizer\', \'activity_regularizer\', \'trainable\', \'name\', \'reuse\'], varargs=None, keywords=None, defaults=[\'(1, 1)\', \'valid\', \'channels_last\', \'(1, 1)\', \'1\', \'None\', \'True\', \'None\', \'None\', \'\', \'None\', \'None\', \'None\', \'None\', \'True\', \'None\', \'None\'], " } }