Multi-layer Networks for MNIST Classification l Machine learning

Hello , I am an experienced python programmer working mostly in deep learning projects. I have worked with mnist data set again in the past so it won't be difficult for me to accomplish it.

Hi, I would like to take up your work. Is it okay if I can implement it in python using Tensorflow? Please do let me know your software requirements.

Hi, My name is Georges. I have the deepest knowledge and experience possible in neural networks (I have 14 years teaching NN in university). I have use them too much times. This is my profile: * Systems Engineer (Magna Cum Laude, 1º place in the class ranking) * MSc in Statistics * PhD in Applied Sciences and Engineering * Experience in industrial, commercial, Government and academic environments * Since 2002, I am a Professor, Researcher and Developer in the following fields: Statistics, Data Mining, Machine Learning, Artificial Intelligence, Optimization, Operations Research, Systems Engineering, Automatic Speech Processing and Computing. Overall, these are some of my skills: Support Vector Machines, Artificial Neural Networks, Discriminant Analysis, Logistic Regression, Naïve Bayes, Bayesian Networks, Decision Trees, Linear Regression Models, ARIMA, GARCH, Hidden Markov Models, Mixture of Experts, c-means, Hierarchical Method, Fuzzy c-means, Survival Analysis, Principal Component Analysis, Factor Analysis, Generalized Linear Models, ANOVA, Design of Experiments, Probability Theory, Statistical Inference, Stochastical Processes, Sampling, Testing, Association Rules, Decision Trees, Computing (C++, Matlab, R, Python, SQL, Visual Basic, SPSS, Minitab, Excel, Lingo, SAS). On the other hand, I not only offer high quality results, but the willingness to assist you any time you need it, with fast and effective responses. I can do a brilliant job for you. Regards, Georges

Hi, I have done a lot of experiments on CIFAR-10 dataset, using Single Layer and multi Layer (Deep CNN) Neural Networks. I have dealt with Network-In-Network model. I have certificate of "Machine Learning" from Stanford University via course.org. Looking forward to hear from you and willing to discuss with you the details. Regards

1. Studied Machine Learning, Neural Networks etc., 2. Coded Multi layer perceptron and CNN before. 3. Worked with MNIST digit data and got an accuracy of > 90. 4. Good with python.

I have good experience in using tensor flow. This is a very simple task which will not take more than 4 hours to complete. Please message me for more details.