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+### `tf.image_summary(*args, **kwargs)` {#image_summary}
+
+Outputs a `Summary` protocol buffer with images. (deprecated)
+
+THIS FUNCTION IS DEPRECATED. It will be removed after 2016-11-30.
+Instructions for updating:
+Please switch to tf.summary.image. Note that tf.summary.histogram uses the node name instead of the tag. This means that TensorFlow will automatically de-duplicate summary names based on the scope they are created in. Also, the max_images argument was renamed to max_outputs.
+
+  The summary has up to `max_images` summary values containing images. The
+  images are built from `tensor` which must be 4-D with shape `[batch_size,
+  height, width, channels]` and where `channels` can be:
+
+  *  1: `tensor` is interpreted as Grayscale.
+  *  3: `tensor` is interpreted as RGB.
+  *  4: `tensor` is interpreted as RGBA.
+
+  The images have the same number of channels as the input tensor. For float
+  input, the values are normalized one image at a time to fit in the range
+  `[0, 255]`.  `uint8` values are unchanged.  The op uses two different
+  normalization algorithms:
+
+  *  If the input values are all positive, they are rescaled so the largest one
+     is 255.
+
+  *  If any input value is negative, the values are shifted so input value 0.0
+     is at 127.  They are then rescaled so that either the smallest value is 0,
+     or the largest one is 255.
+
+  The `tag` argument is a scalar `Tensor` of type `string`.  It is used to
+  build the `tag` of the summary values:
+
+  *  If `max_images` is 1, the summary value tag is '*tag*/image'.
+  *  If `max_images` is greater than 1, the summary value tags are
+     generated sequentially as '*tag*/image/0', '*tag*/image/1', etc.
+
+  Args:
+    tag: A scalar `Tensor` of type `string`. Used to build the `tag`
+      of the summary values.
+    tensor: A 4-D `uint8` or `float32` `Tensor` of shape `[batch_size, height,
+      width, channels]` where `channels` is 1, 3, or 4.
+    max_images: Max number of batch elements to generate images for.
+    collections: Optional list of ops.GraphKeys.  The collections to add the
+      summary to.  Defaults to [ops.GraphKeys.SUMMARIES]
+    name: A name for the operation (optional).
+
+  Returns:
+    A scalar `Tensor` of type `string`. The serialized `Summary` protocol
+    buffer.
+