Pinned Repositories
data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning
kaggle-mnist-with-simple-neural-network
Result = 97.2799, Submission for Kaggle mnist Challenge with Simple Neural Network
lotto-with-simple-neural-network
Trying lotto prediction, modeling every ball prediction using historical data
mnist-with-simple-neural-network-numpy-only
tensorflow
Computation using data flow graphs for scalable machine learning
annaarakelyan's Repositories
annaarakelyan/data-science-ipython-notebooks
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
annaarakelyan/deep-learning
annaarakelyan/kaggle-mnist-with-simple-neural-network
Result = 97.2799, Submission for Kaggle mnist Challenge with Simple Neural Network
annaarakelyan/lotto-with-simple-neural-network
Trying lotto prediction, modeling every ball prediction using historical data
annaarakelyan/mnist-with-simple-neural-network-numpy-only
annaarakelyan/tensorflow
Computation using data flow graphs for scalable machine learning