The adaptation of algorithms of neural networks for practical application in scientific researches of the central nervous system morphological state of experimental animals

The paper considers the possibility of using the convolutional neural networks for neuromorphological studies of brain tissue. The solution of the problem is implemented using the Anaconda distribution. The first results of training the neural network are obtained: the recognition of the brain structure - the hippocampus, the determination of the number of nerve cells in an image