This jupyter notebook consists of a neural network that detects MNIST dataset.
- Jupyter notebook - an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
- TensorFlow - A neural network open source library.
- TFLearn - A easy to use framework that is put over the tensorflow library
- Git clone the folder to your computer
- Run the jupyternote book. ( make sure you have either Anaconda or virtual env running jupyternotebook )
- Run each block of code to see what happens at each step.
The MNIST dataset is called. TF learn is used to build a simple neural network.
Training the model
sh model.fit(trainX, trainY, validation_set=0.1, show_metric=True, batch_size=100, n_epoch=8)
- TrainX is the Labels.
- TrainY is the Features.
- Validation_set means that how much of the Training set is used to validate the model.
The following steps above creates a simple neural network.
-Farhana