fix indentation

Author: tmheo

README.md

@@ -4,48 +4,48 @@ Jupyter Notebook Code for Keras Deep Learning Framework Study
 Keras Exercises are from http://machinelearningmastery.com/category/deep-learning/
 
 * [Develop Your First Neural Network in Python With Keras Step-By-Step](http://machinelearningmastery.com/tutorial-first-neural-network-python-keras/)
- * [notebook-1](notebook/01_keras_first_network.ipynb)
+  * [notebook-1](notebook/01_keras_first_network.ipynb)
 * [Evaluate the Performance Of Deep Learning Models in Keras](http://machinelearningmastery.com/evaluate-performance-deep-learning-models-keras/)
- * [notebook-2](notebook/02_keras_eval_performance.ipynb)
- * [notebook-3](notebook/03_keras_eval_performance_k_fold_cross_validation.ipynb)
+  * [notebook-2](notebook/02_keras_eval_performance.ipynb)
+  * [notebook-3](notebook/03_keras_eval_performance_k_fold_cross_validation.ipynb)
 * [Use Keras Deep Learning Models with Scikit-Learn in Python](http://machinelearningmastery.com/use-keras-deep-learning-models-scikit-learn-python/)
- * [notebook-4](notebook/04_keras_eval_performance_scikit_learn.ipynb)
- * [notebook-5](notebook/05_keras_eval_performance_scikit_learn_grid_search.ipynb)
+  * [notebook-4](notebook/04_keras_eval_performance_scikit_learn.ipynb)
+  * [notebook-5](notebook/05_keras_eval_performance_scikit_learn_grid_search.ipynb)
 * [Multi-Class Classification Tutorial with the Keras Deep Learning Library](http://machinelearningmastery.com/multi-class-classification-tutorial-keras-deep-learning-library/)
- * [notebook-6](notebook/06_keras_multi_class_classification.ipynb)
+  * [notebook-6](notebook/06_keras_multi_class_classification.ipynb)
 * [Binary Classification Tutorial with the Keras Deep Learning Library](http://machinelearningmastery.com/binary-classification-tutorial-with-the-keras-deep-learning-library/)
- * [notebook-7](notebook/07_keras_binary_classficiation.ipynb)
+  * [notebook-7](notebook/07_keras_binary_classficiation.ipynb)
 * [Regression Tutorial with the Keras Deep Learning Library in Python](http://machinelearningmastery.com/regression-tutorial-keras-deep-learning-library-python/)
- * [notebook-8](notebook/08_keras_regression.ipynb)
+  * [notebook-8](notebook/08_keras_regression.ipynb)
 * [Save and Load Your Keras Deep Learning Models](http://machinelearningmastery.com/save-load-keras-deep-learning-models/)
- * [notebook-9](notebook/09_keras_save_load_model_as_json.ipynb)
- * [notebook-10](notebook/10_keras_save_load_model_as_yaml.ipynb)
+  * [notebook-9](notebook/09_keras_save_load_model_as_json.ipynb)
+  * [notebook-10](notebook/10_keras_save_load_model_as_yaml.ipynb)
 * [How to Check-Point Deep Learning Models in Keras](http://machinelearningmastery.com/check-point-deep-learning-models-keras/)
- * [notebook-11](notebook/11_keras_checkpoint.ipynb)
+  * [notebook-11](notebook/11_keras_checkpoint.ipynb)
 * [Display Deep Learning Model Training History in Keras](http://machinelearningmastery.com/display-deep-learning-model-training-history-in-keras/)
- * [notebook-12](notebook/12_keras_visualize_model_training_history.ipynb)
+  * [notebook-12](notebook/12_keras_visualize_model_training_history.ipynb)
 * [Dropout Regularization in Deep Learning Models With Keras](http://machinelearningmastery.com/dropout-regularization-deep-learning-models-keras/)
- * [notebook-13](notebook/13_keras_dropout_regularization.ipynb)
+  * [notebook-13](notebook/13_keras_dropout_regularization.ipynb)
 * [Using Learning Rate Schedules for Deep Learning Models in Python with Keras](http://machinelearningmastery.com/using-learning-rate-schedules-deep-learning-models-python-keras/)
- * [notebook-14](notebook/14_keras_learning_rate.ipynb)
+  * [notebook-14](notebook/14_keras_learning_rate.ipynb)
 * [Handwritten Digit Recognition using Convolutional Neural Networks in Python with Keras](http://machinelearningmastery.com/handwritten-digit-recognition-using-convolutional-neural-networks-python-keras/)
- * [notebook-15](notebook/15_keras_mnist_baseline.ipynb)
- * [notebook-16](notebook/16_keras_mnist_cnn.ipynb)
+  * [notebook-15](notebook/15_keras_mnist_baseline.ipynb)
+  * [notebook-16](notebook/16_keras_mnist_cnn.ipynb)
 * [Image Augmentation for Deep Learning With Keras](http://machinelearningmastery.com/image-augmentation-deep-learning-keras/)
- * [notebook-17](notebook/17_keras_image_augmentation.ipynb)
+  * [notebook-17](notebook/17_keras_image_augmentation.ipynb)
 * [Object Recognition with Convolutional Neural Networks in the Keras Deep Learning Library](http://machinelearningmastery.com/object-recognition-convolutional-neural-networks-keras-deep-learning-library/)
- * [notebook-18](notebook/18_keras_object_recognition_cnn.ipynb)
+  * [notebook-18](notebook/18_keras_object_recognition_cnn.ipynb)
 * [Predict Sentiment From Movie Reviews Using Deep Learning](http://machinelearningmastery.com/predict-sentiment-movie-reviews-using-deep-learning/)
- * [notebook-19](notebook/19_keras_predict_sentiment_movie_review.ipynb)
+  * [notebook-19](notebook/19_keras_predict_sentiment_movie_review.ipynb)
 * [Time Series Prediction With Deep Learning in Keras](http://machinelearningmastery.com/time-series-prediction-with-deep-learning-in-python-with-keras/)
- * [notebook-20](notebook/20_keras_time_series_prediction.ipynb)
+  * [notebook-20](notebook/20_keras_time_series_prediction.ipynb)
 * [Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras](http://machinelearningmastery.com/time-series-prediction-lstm-recurrent-neural-networks-python-keras/)
- * [notebook-21](notebook/21_keras_time_series_prediction_lstm.ipynb)
+  * [notebook-21](notebook/21_keras_time_series_prediction_lstm.ipynb)
 * [Sequence Classification with LSTM Recurrent Neural Networks in Python with Keras](http://machinelearningmastery.com/sequence-classification-lstm-recurrent-neural-networks-python-keras/)
- * [notebook-22](notebook/22_keras_sequence_classification_lstm.ipynb)
+  * [notebook-22](notebook/22_keras_sequence_classification_lstm.ipynb)
 * [Understanding Stateful LSTM Recurrent Neural Networks in Python with Keras](http://machinelearningmastery.com/understanding-stateful-lstm-recurrent-neural-networks-python-keras/)
- * [notebook-23](notebook/23_keras_understanding_stateful_lstm.ipynb)
+  * [notebook-23](notebook/23_keras_understanding_stateful_lstm.ipynb)
 * [Text Generation With LSTM Recurrent Neural Networks in Python with Keras](http://machinelearningmastery.com/text-generation-lstm-recurrent-neural-networks-python-keras/)
- * [notebook-24](notebook/24_keras_text_generation_lstm.ipynb)
+  * [notebook-24](notebook/24_keras_text_generation_lstm.ipynb)
 * [How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras](http://machinelearningmastery.com/grid-search-hyperparameters-deep-learning-models-python-keras/)
- * [notebook-25](notebook/25_keras_grid_search_hyper_parameter.ipynb)
+  * [notebook-25](notebook/25_keras_grid_search_hyper_parameter.ipynb)