We are looking for someone to proived Line - by - Line walkthrough of building a tensorflow model, with the following features :
Model with custom estimator API,
Feeding data off TFrecord files
Predict Multiple outputs (labels) of float and int values
Custom loss function, to create effective model to work on imbalanced dataset
A walkthrough of simple DNN, then another with LSVM model
Method of delivery is a live tutorial session with communicating / screen sharing application of choice - skype, zoom, google call or any other preferred.