Trained a ResNet110 in Pytorch for multioutput classification, but the predicted values are out of range, what can be the reason?

This page summarizes the projects mentioned and recommended in the original post on /r/learnmachinelearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured

  • pytorch_resnet_cifar10

    Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

    • I made some changes to this repo codes and trained a ResNet32 for 1 epoch to test if the script is working, then trained a ResNet110 for 200 epochs. the range of values for output A is [0,1] and output B is [0, 4] in the training dataset. The trained ResNet32 model predictions were within the proper range but the ResNet110 output range went negative or something like 15.324 (way beyond 4).

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts