Endless Falling

Hi all, please get this mini game called Endless Falling.

** If game cannot be opened, please run as administrator.

Screenshot:

Game Link: https://drive.google.com/open?id=0B7_726VmtxyoZ3dTREE3c3Q4Tnc

Software coding Link: https://drive.google.com/open?id=0B7_726VmtxyodXlVdVdtY0I5R3c

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Accuracy for Logistic Regression model is always lower than using Convolutional neural network

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Here's the coding for a logistic regression model with 100k samples. The accuracy is only 86.7% compared than 96% for ConvNet. ROC Curve for logistic is 0.97 compared to 0.99 for ConvNet. from __future__ import print_function import numpy as np import matplotlib.pyplot as plt import os from sklearn.metrics import roc_curve, auc from sklearn.linear_model import LogisticRegression from six.moves import cPickle as pickle from sklearn.metrics import confusion_matrix def load_data(): test_filename = "notMNIST.pickle" if os.path.exists(test_filename): with open(test_filename, 'rb') as f: letter_dataset = pickle.load(f) return (letter_dataset) sample_size = 10000 print('Sample size: ', sample_size) lt_dt = load_data() x_train = lt_dt['train_dataset'][:sample_size] y_train = lt_dt['train_labels'][:sample_size] x_test = lt_dt['test_dataset'] y_test = lt_dt['test_labels'] regr = LogisticRegressi...
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Using mini batch SGD Neural Network in Alphabet recognition!

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For Convolutional Neural Network , there are a lots of factors affect the model accuracy. Factors included the structure of Convolutional Neural Network , hyper parameters values, over-fitting and etc. Only correct or suitable network structure can produce high model accuracy. If wrong network structure is used, whatever you tune the hyper parameters, the accuracy will still worse. So, after we found the right network structure, only we can start to tune the hyper parameters. However, over-fitting may happened on your model accuracy. There are several methods to prevent that. One of the over-fitting prevention is by using the dropout function. Dropout give the model a way to find alternative way to train the model by removed some characteristic according to the ratio. Another way to prevent over-fitting is by increasing the number of samples. Besides, we can also simplify the network structure. Some complicated network structure sometimes can cause over-fitting too.  Fi...
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Hi All, this is my third game written by myself. This game is built with Visual Studio 2005 in C#. ** If game cannot be opened, please run as administrator. Screenshot: Software Link:  https://drive.google.com/open?id=0B7_726VmtxyoUmk3aTdEZFBXT0k Software coding Link:  https://drive.google.com/open?id=0B7_726VmtxyoLWJpdm9pVzRLZ2M
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Accuracy 96% with Simple Deep NN using Keras Theano backend for nonMNist alphabet recognition

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