Deprecation Warnings Across Courses

Followed one of the GCP courses briefly and came across a few deprecation warnings which I wouldn't mind fixing as I'll be following along some of the other courses as well.

This sample is taken from courses/machine_learning/deepdive/09_sequence/sinemodel/model.py as well as the same file (with code missing) in the lab folder.

This would be an easy way for me to start contributing and learn the codebase in order to help with future more involved changes and bug fixes.

```

INFO:tensorflow:TF_CONFIG environment variable: {u'environment': u'cloud', u'cluster': {}, u'job': {u'args': [u'--train_data_path=/home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/data/sines/train-1.csv', u'--eval_data_path=/home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/data/sines/valid-1.csv', u'--output_dir=/home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines', u'--model=linear', u'--train_steps=10', u'--sequence_length=50'], u'job_name': u'sinemodel.task'}, u'task': {}}
INFO:tensorflow:Using config: {'_save_checkpoints_secs': 60, '_num_ps_replicas': 0, '_keep_checkpoint_max': 5, '_task_type': 'worker', '_global_id_in_cluster': 0, '_is_chief': True, '_cluster_spec': , '_model_dir': '/home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines/', '_protocol': None, '_save_checkpoints_steps': None, '_keep_checkpoint_every_n_hours': 10000, '_service': None, '_session_config': allow_soft_placement: true
graph_options {
rewrite_options {
meta_optimizer_iterations: ONE
}
}
, '_tf_random_seed': None, '_save_summary_steps': 100, '_device_fn': None, '_session_creation_timeout_secs': 7200, '_experimental_distribute': None, '_num_worker_replicas': 1, '_task_id': 0, '_log_step_count_steps': 100, '_experimental_max_worker_delay_secs': None, '_evaluation_master': '', '_eval_distribute': None, '_train_distribute': None, '_master': ''}
INFO:tensorflow:Not using Distribute Coordinator.
INFO:tensorflow:Running training and evaluation locally (non-distributed).
INFO:tensorflow:Start train and evaluate loop. The evaluate will happen after every checkpoint. Checkpoint frequency is determined based on RunConfig arguments: save_checkpoints_steps None or save_checkpoints_secs 60.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow_core/python/training/training_util.py:236: initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow_estimator/python/estimator/api/_v1/estimator/__init__.py:12: The name tf.estimator.inputs is deprecated. Please use tf.compat.v1.estimator.inputs instead.

WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow_core/python/autograph/converters/directives.py:119: The name tf.decode_csv is deprecated. Please use tf.io.decode_csv instead.

WARNING:tensorflow:From sinemodel/model.py:154: make_one_shot_iterator (from tensorflow.python.data.ops.dataset_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use `for ... in dataset:` to iterate over a dataset. If using `tf.estimator`, return the `Dataset` object directly from your input function. As a last resort, you can use `tf.compat.v1.data.make_one_shot_iterator(dataset)`.
INFO:tensorflow:Calling model_fn.
WARNING:tensorflow:From sinemodel/model.py:41: dense (from tensorflow.python.layers.core) is deprecated and will be removed in a future version.
Instructions for updating:
Use keras.layers.Dense instead.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow_core/python/layers/core.py:187: apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version.
Instructions for updating:
Please use `layer.__call__` method instead.
WARNING:tensorflow:From sinemodel/model.py:177: The name tf.losses.mean_squared_error is deprecated. Please use tf.compat.v1.losses.mean_squared_error instead.

WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow_core/python/ops/losses/losses_impl.py:121: where (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From sinemodel/model.py:178: The name tf.metrics.root_mean_squared_error is deprecated. Please use tf.compat.v1.metrics.root_mean_squared_error instead.

WARNING:tensorflow:From sinemodel/model.py:221: The name tf.get_collection is deprecated. Please use tf.compat.v1.get_collection instead.

WARNING:tensorflow:From sinemodel/model.py:221: The name tf.GraphKeys is deprecated. Please use tf.compat.v1.GraphKeys instead.

WARNING:tensorflow:
The TensorFlow contrib module will not be included in TensorFlow 2.0.
For more information, please see:
* https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md
* https://github.com/tensorflow/addons
* https://github.com/tensorflow/io (for I/O related ops)
If you depend on functionality not listed there, please file an issue.

WARNING:tensorflow:From sinemodel/model.py:226: The name tf.train.get_global_step is deprecated. Please use tf.compat.v1.train.get_global_step instead.

INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Create CheckpointSaverHook.
INFO:tensorflow:Graph was finalized.
2019-11-17 17:50:25.169747: I tensorflow/core/platform/cpu_feature_guard.cc:145] This TensorFlow binary is optimized with Intel(R) MKL-DNN to use the following CPU instructions in performance critical operations: AVX2 FMA
To enable them in non-MKL-DNN operations, rebuild TensorFlow with the appropriate compiler flags.
2019-11-17 17:50:25.178644: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200000000 Hz
2019-11-17 17:50:25.179248: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x564942541c90 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2019-11-17 17:50:25.179308: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2019-11-17 17:50:25.179704: I tensorflow/core/common_runtime/process_util.cc:115] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Saving checkpoints for 0 into /home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines/model.ckpt.
INFO:tensorflow:loss = 1.3969852, step = 1
INFO:tensorflow:Saving checkpoints for 10 into /home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines/model.ckpt.
INFO:tensorflow:Calling model_fn.
INFO:tensorflow:Done calling model_fn.
INFO:tensorflow:Starting evaluation at 2019-11-17T17:50:26Z
INFO:tensorflow:Graph was finalized.
INFO:tensorflow:Restoring parameters from /home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines/model.ckpt-10
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Finished evaluation at 2019-11-17-17:50:27
INFO:tensorflow:Saving dict for global step 10: RMSE = 0.5602834, RMSE_same_as_last = 0.2961621, global_step = 10, loss = 0.3139175
INFO:tensorflow:Saving 'checkpoint_path' summary for global step 10: /home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines/model.ckpt-10
WARNING:tensorflow:From sinemodel/model.py:161: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.

INFO:tensorflow:Calling model_fn.
INFO:tensorflow:Done calling model_fn.
WARNING:tensorflow:From /usr/local/lib/python2.7/dist-packages/tensorflow_core/python/saved_model/signature_def_utils_impl.py:201: build_tensor_info (from tensorflow.python.saved_model.utils_impl) is deprecated and will be removed in a future version.
Instructions for updating:
This function will only be available through the v1 compatibility library as tf.compat.v1.saved_model.utils.build_tensor_info or tf.compat.v1.saved_model.build_tensor_info.
INFO:tensorflow:Signatures INCLUDED in export for Eval: None
INFO:tensorflow:Signatures INCLUDED in export for Classify: None
INFO:tensorflow:Signatures INCLUDED in export for Regress: None
INFO:tensorflow:Signatures INCLUDED in export for Predict: ['serving_default', 'predictions']
INFO:tensorflow:Signatures INCLUDED in export for Train: None
INFO:tensorflow:Restoring parameters from /home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines/model.ckpt-10
INFO:tensorflow:Assets added to graph.
INFO:tensorflow:No assets to write.
INFO:tensorflow:SavedModel written to: /home/jupyter/training-data-analyst/courses/machine_learning/deepdive/09_sequence/trained/sines/export/exporter/temp-1574013027/saved_model.pb
INFO:tensorflow:Loss for final step: 0.33425674.

```