I want to build a fully connected Deep Neural network (5 hidden layers) using Tensorflow.
Data set contains 4502 records (training & testing input for DNN) provided in MS Excel file, each row contains 801 real number and represents 1 record (input) for DNN
(( 801 nodes for input – 5 hidden layers – 2 nodes for output ))
Input Record length (for each single input) = 801 real number
number of records for class 1 = 1798 (classifier output = 1)
number of records for class 0 = 2704 (classifier output = 0)
Output: (true or false):
(1,0) for class 1 records
(0,1) for class 0 records
I want screen shoots of testing (1000 epoch training)
14 freelancere byder i gennemsnit $58 på dette job
hello I'm a software engineer and python developer. I made before a python script using tensorflow for face recognition. it would be a pleasure to work with you. thank you in advance.
I am an expert data scientist having 6 years of experience in machine learning, deep learning and NLP. Have worked in healthcare data and solved regression and classification problems.
I'm a deep learning engineer. I have a 2 years of experience. I have implemented many projects using deep neural network. So, i think i most fit for your project