MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images.
More details please visit https://www.kaggle.com/c/digit-recognizer
You can use Anaconda to install the code environment in environments folder.
- conda env create -f kaggle_env_mac_env_mac.yml
- source activate kaggle
- jupyter notebook
- Data processing.
- Data normalization.
- Data split into train set, dev(cross validation) set, test set.
- Data classification by using Deep Learning(Convolutional Neural Network) implemented in Keras.