# SqueezeNet 0 Reviews
**Vendor:** Amazon Web Services (AWS)  
**Category:** [AWS Marketplace Software](https://www.g2.com/categories/aws-marketplace)  
**Average Rating:** 3.5/5.0  
**Total Reviews:** 1
## About SqueezeNet 0
This is a Image Classification model from PyTorch Hub




## SqueezeNet 0 Reviews
  ### 1. Must try model for CV tasks

**Rating:** 3.5/5.0 stars

**Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.)

**Reviewed Date:** September 05, 2023

**What do you like best about SqueezeNet 0?**

SqueezeNet is comparatively small compared to VGG and other ResNet-based architectures
The architecture is designed in such a way that it doesn't compromise and performance with less parameteres

**What do you dislike about SqueezeNet 0?**

SqueezeNet performs well when the dataset is limited. Training with lots of data can reduce the performance of the neural net since the architecture is quite small

**What problems is SqueezeNet 0 solving and how is that benefiting you?**

SqueezeNet can be used in mobile applications that involves computer vision tasks since the model is small and easy to train, evalulate and deploy.
Activation layers can be experimented to improve performance



- [View SqueezeNet 0 pricing details and edition comparison](https://www.g2.com/products/squeezenet-0/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-13+23%3A38%3A18+-0500&secure%5Bsession_id%5D=d317aef4-28eb-4de3-89e0-ee6eb8a67a9f&secure%5Btoken%5D=052d84ed6a4d62d4110ffd389ad09008917c95fa4f3f57fe073fbdeaecf83f4d&format=llm_user)

## SqueezeNet 0 Features
**Agentic AI - AWS Marketplace**
- Autonomous Task Execution
- Multi-step Planning
- Cross-system Integration