Project 1. Finding handwritten digit recognition, face recognition, speech recognition, function reg

Project 1. Finding handwritten digit recognition, face recognition, speech recognition, function regression, and etc. Dividing the original dataset into training subset and test subset and completing the following two experiments: 1) using the method of “neural networks with supervised learning” to preform the training on the training subset and validate the training results Analyzing the reasons behind the results of your experiments and proposing the possible solutions to improve the performance of your method; 2) using the method of “unsupervised learning” to performing the training on the training subset, i.e., ignoring the provided labels in the training. Analyzing the relationship between the unsupervised learning and the above supervised learning based on the results of them You need to submit an experiment report to show the details of your experiments. a set of data with provided labels, such as the dataset for on the test subset. Project 2. Using the algorithm of the Hopfield network, evolutionary algorithm, and intelligence optimization algorithm to solve the TSP problem, respectively Comparing the results of them, based on which., you need to submit an experiment Swarm report that includes: 1) Describing the basic knowledge of the above algorithms 2) Reporting and analyzing the experimental results 3) Giving a unified expression of the search problem and the search method under which explaining the exploration ability and the exploitation ability of a search algorithm and further providing the thought how to improve the exploration ability and the exploitation ability of the algorithms FHei this is an artificial intelligence questions thats all i have

 

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