do you know any good set of training images for my test neural network
preferably a tagged set of images of numbers or letters or simple symbols
faces or real images might be too complex at this stage. (i am tiring to implement a Boltzmann machine)
Usually around 100 images are sufficient to train a class. If the images in a class are very similar, fewer images might be sufficient. the training images are representative of the variation typically found within the class.
The model is initially fit on a training data set, which is a set of examples used to fit the parameters (e.g. weights of connections between neurons in artificial neural networks) of the model.
Fitting a neural network involves using a training dataset to update the model weights to create a good mapping of inputs to outputs.
The UCI Machine Learning Repository has a bunch of different sets of training data, including handwritten digits, for example Optical Recognition of Handwritten Digits Data Set
Another large repository of datasets, organized by application domain (classification, regression, segmentation, ...) is MLcomp. It also allow you to compare the performance of your algorithm with many other standard methods.
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