Implement two simple neural networks in one day and compare them in terms of learning speed and accuracy on simple data -- 2
$10-30 USD
Paid on delivery
Two NN with backpropagation
Two hidden layers, 3 neurons, python. Libraries-numpy/scipy.
Comments on how the algorithm works.
Compare the speed of learning, accuracy in prediction.
First - using particle swarm optimization
Second - using the Steepest Descent method
and Golden section method
Input: height, weight
Output: gender
Dataset: [login to view URL]
Project ID: #25678508
About the project
6 freelancers are bidding on average $36 for this job
Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp More
Hi there! I can help you with this project. I am very well versed with Neural networks topics ranging from simple backpropogation to advanced LSTM's, Google net, Resnet, Transfer learning topics. I am also working in More
hi i have 4 years of experience in the field of python scripting and Machine learning algorithms. it would be pleasure if my experience will help you to achieve your goals and objectives.. thanks
computer vision engineer with experience in building datasets, preprocessing and training neural networks in a professional environment
hi, i am a student of iit Varanasi. i have recently learned deep learning and i am very eager to implement it. based on what you are asking in the project, i could complete the given task with a very high accuracy.
Hi, I did my masters in the USA and I worked for a top American clothing company here. Let me know the details of the project. I promise you that you will get the best quality project. I don't do projects here so that More
