update time_distributed & fix typo

- Time Distributed layer can now take a Tensor or Python array as input

docs/templates/tutorials/quickstart.md

@@ -1,6 +1,6 @@
 # TFLearn - Quick Start
 
-In this tutorial, you will learn to use TFLearn and TensorFlow to estimate the surviving chance of Titanic passengers using their personal information (such as gender, age, etc...). To tackle this classic machine learning task, we are going to build a deep neural network classifier.
+In this tutorial, you will learn to use TFLearn and TensorFlow to estimate Titanic passengers chance of surviving the sinking, using their personal information (such as gender, age, etc...). To tackle this classic machine learning task, we are going to build a deep neural network classifier.
 
 ## Prerequisite
 Make sure that you have tensorflow and tflearn installed. If you don't, please follow these [instructions](http://tflearn.org/installation).

tflearn/layers/core.py

@@ -617,6 +617,9 @@ def time_distributed(incoming, fn, args=None, scope=None):
     if not args: args = list()
     assert isinstance(args, list), "'args' must be a list."
 
+    if not isinstance(incoming, tf.Tensor):
+        incoming = tf.transpose(tf.pack(incoming), [1, 0, 2])
+
     input_shape = utils.get_incoming_shape(incoming)
     timestep = input_shape[1]
     x = tf.split(1, timestep, incoming)

tutorials/intro/quickstart.md

@@ -1,6 +1,6 @@
 # TFLearn - Quick Start
 
-In this tutorial, you will learn to use TFLearn and TensorFlow to estimate the surviving chance of Titanic passengers using their personal information (such as gender, age, etc...). To tackle this classic machine learning task, we are going to build a deep neural network classifier.
+In this tutorial, you will learn to use TFLearn and TensorFlow to estimate Titanic passengers chance of surviving the sinking, using their personal information (such as gender, age, etc...). To tackle this classic machine learning task, we are going to build a deep neural network classifier.
 
 ## Prerequisite
 Make sure that you have tensorflow and tflearn installed. If you don't, please follow these [instructions](http://tflearn.org/installation).