loss accuracy iteration loss accuracy iteration loss accuracy iteration loss accuracy iteration loss accuracy iteration loss accuracy iteration loss accuracy iteration loss accuracy iteration loss accuracy iteration loss accuracy accuracy on test set to try and improve the accuracy of our modelor to learn more about the impact of tuning hyperparameterswe can test the effect of changing the learning ratethe dropout thresholdthe batch sizeand the number of iterations we can also change the number of units in our hidden layersand change the amount of hidden layers themselvesto see how different architectures increase or decrease the model accuracy to demonstrate that the network is actually recognizing the handdrawn imageslet' test it on single image of our own if you are on local machine and you would like to use your own hand-drawn numberyou can use graphics editor to create your own pixel image of digit otherwiseyou can use curl to download the following sample test image to your server or computer(tensorflow-democurl - images/test_img png