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.
Google play store: https://play.google.com/store/apps/details?id=com.nalsil.tensorflowsimapp
Reference free ebook: Building Mobile Applications with TensorFlow(http://www.oreilly.com/data/free/building-mobile-applications-with-tensorflow.csp\)
The source implemented with Tensorflow is as follows.
- 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