Deep Learning for mobile:DL4Mobile

This app was implemented using a learned model from TensorFlow.

This app was implemented using a learned model from TensorFlow.

The basic implementation uses the educational sample of Professor Kim Sung-hoon, professor of "Deep Learning for Everyone(DeepLearningZeroToAll)" (https://hunkim.github.io/ml/) to create a model file, and provides a sample using the optimized model.

Machine learning algorithms that are not part of the lecture are also implemented step-by-step on mobile.

GitHub: https://github.com/nalsil/TensorflowSimApp

Reference free ebook: Building Mobile Applications with TensorFlow (http://www.oreilly.com/data/free/building-mobile-applications-with-tensorflow.csp)

* Linear Regression: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-02-3-linear_regression_tensorflow.org_model.py

* Minimizing Cost Gradient Update: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-03-2-minimizing_cost_gradient_update_model.py

* Multi-Variable Matmul Linear Regression: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-04-2-multi_variable_matmul_linear_regression_model.py

* Logistic Regression Classifier: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-05-1-logistic_regression_model.py

* Softmax Classifier: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-06-1-softmax_classifier_model.py

* Learning rate and Evaluation: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-07-1-learning_rate_and_evaluation_model.py

* Mnist introduction: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-07-4-mnist_introduction_model.py

* XOR-NN-Wide-Deep: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-09-3-xor-nn-wide-deep_model.py

* MNIST Softmax: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-10-1-mnist_softmax_model.py

* MNIST NN: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-10-2-mnist_nn_model.py

* MNIST NN Xavier: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-10-3-mnist_nn_xavier_model.py

* MNIST NN Deep: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-10-4-mnist_nn_deep_model.py

* MNIST NN Dropout: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-10-5-mnist_nn_dropout_model.py

* MNIST CNN: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-11-1-mnist_cnn_model.py

* MNIST Deep CNN: https://github.com/nalsil/DeepLearningZeroToAll/blob/master/lab-11-2-mnist_deep_cnn_model.py