Sagemaker TF notebook (aws#145)

* Changing link of latest binaries for 0.3 (aws#122)

* change link to binary and introduce latest

* make container scripts working again

* remove -U

* fix path to ts binary in docker

* log when single process is to stdout

* uploaded sagemaker docs

update analysis docs

remove sagemaker docs

update TF doc

add sagemaker docs

update api docs

change link for rules binary

add files from s3 bucket

* refactor positions

* minor changes

* fix links in old examples

* fix paths in integration tests

* Update test_training_end.py

* Update test_training_end.py

* Update integration_testing_rules.py

* bring back examples section in analysis readme

* create sagemaker-notebooks directory

* fix links

* updated notebook for tf

* fix name of rule

* Delete README.md

* remove rules scripts

* Update tensorflow-simple.ipynb

* Update tensorflow-simple.ipynb

Author: rahul003

docs/rules/README.md

@@ -514,6 +514,7 @@ This rule helps you keep track of the ratio of the updates to weights during tra
 It takes as inputs three arguments.
 First, is the `base_trial` as usual. 
 Second and third are `large_threshold` and `small_threshold`. 
+
 This returns True if the ratio of updates to weights is larger than `large_threshold` 
 or when this ratio is smaller than `small_threshold`.  
 
@@ -612,6 +613,7 @@ lnd = LossNotDecreasing(base_trial=trial_obj, tensor_regex=['loss*'], num_steps=
 
 We have end-to-end flow example from saving tensors to plotting using saved tensors for [MXNet](../../examples/mxnet/notebooks) and [PyTorch](../../examples/pytorch/notebooks). 
 
+
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