#TENSORFLOW PERMUTE MNIST CODE#

The challenge for our ANN is that it should be able to recognize hand-written digits from a digitized gray-color image after some training. It is a standard data set used in many elementary courses on ML. The MNIST data set consists of images of handwritten numbers with 28×28 pixels. As a first example we shall use the conventional MNIST data set. We shall concentrate on classification tasks. We need a relatively well defined first objective for the usage of our ANN.

#TENSORFLOW PERMUTE MNIST CODE#

I recommend to read one of these books whilst we move on with a sequence of steps to build the basic code for our MLP. in the books of Geron and Rashka (see the references at the end of this article). The real basics are, however, much better and more precisely documented in the literature e.g. But even if you are not fully acquainted with all the named topics: I shall briefly comment on each and every of the points in the forthcoming articles. Otherwise I would have to write an introductory book on ML myself. I cannot spare you the effort of studying most of these topics in advance. what a mini-batch approach to weight optimization is.why we need the back propagation of deviations from known values and why it gives you the required partial derivatives of a typical cost function with respect to an ANN’s “weights”,.what logistic regression is and what the cost function J for it looks like,.what a “cost function” is and how the gradient descent method works,.what simple neural networks with “hidden” layers look like and what its weights are,.Regarding ANN-theory I take a brutal shortcut and assume that my readers are already acquainted with the following topics: I expected that my readers and I myself would earn something on various methods used in ML during our numerical experiments. So I thought, just let me set up a small Python3 and Numpy based program to create a simple kind of ANN – a “ Multilayer Perceptron” – and train it for the MNIST dataset. And as readers of this blog will see in the future, I have some ideas along this line … Well, some readers might say: Why program an ANN by yourself at a basic Python level at all when Keras and TensorFlow are available? Answer: For learning! And eventually to be able to do some things TF has not been made for. For beginners both in Python and Machine Learning the threshold to do some real programming and create your own Artificial Neural Network seems to be relatively high.

Tensorflow permute mnist