I have an existing MLP model which uses TensorFlow 1.12.0. Currently, I'm loading the training data from a csv file using "genfromtxt" and normalizing it using sklearn. However, the training data is not being shuffled every epoch to prevent over fitting. The goal of this project is to optimize the methods used for loading the training data (can use panda data frames, sklearn, tensorflow, etc.) as well as ensure that that the training data is shuffled before every epoch. Typically, I required a keyword to be included in your bid so that I can weed out automated bids. For this one, please include a brief description of the problem and what your approach would be to solve it (include what preprocessing libraries you'd use). I will not respond to bids which don't include this. I pay well, I pay fast, I give bonuses to freelancers who go over and beyond and come up with unique solutions.
18 фрилансеров(-а) в среднем готовы выполнить эту работу за $179
HI, I am Machine Learning Engineer and have good experience in python and R programming. My area of interest is computer vision applications and apply ML/deep learning algorithm. I can intern your tasks. Kind Regards
Hi there, Expert here, Sir i have read your project and it's match with my skills i can provide you quality work on time Can you please come to the chat box so we can easily discuss about project details. Thank You
Hello, This project is quite easy for me, but I got couple of questions to clear before we proceed [login to view URL] message me to have a quick chat.