Product Avatar Image

DeepPy

Show rating breakdown
4.1 out of 5 stars
12 reviews
  • 1 profiles
  • 2 categories
Average star rating
4.1
Serving customers since

Profile Name

Star Rating

5
5
2
0
0

DeepPy Reviews

Review Filters
Profile Name
Star Rating
5
5
2
0
0
JB
Jaykishan B.
Software Engineer at RG Developers
10/31/2017
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Deep Learning with Python

|DeepPy
- Support Feedforward networks and Convnets, really makes most of your task easy. - There is a whole example of Image Classification with Convnets, helped a lot to build my own.
RV
Rayan V.
Senior Software Engineer at RG Developers
10/31/2017
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

A Python Deep Learning Library

|DeepPy
- Easy to install and use. - Support for basic python libraries which are very much helpful in Data Science like NumPy.
RT
Rahul T.
Project Manager at RG Developers
10/23/2017
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review

Deeply implemented Deep Learning library for python

|DeepPy
- Support for NumPy ndarrays. - The example section: http://andersbll.github.io/deeppy-website/examples/index.html first and foremost place to get handy with DeepPy - Great support for already implemented network architectures like feedforward networks, convnets and siamese networks.

About

Contact

HQ Location:
N/A

Social

What is DeepPy?

DeepPy is a Python framework designed to facilitate the development and experimentation of deep learning algorithms. The framework is built to be simple and flexible, allowing researchers and developers to quickly implement and test various neural network architectures. DeepPy emphasizes ease of use and accessibility, making it suitable for both beginners in the field of deep learning and more experienced researchers who need a lightweight framework for prototyping new ideas. You can explore more about DeepPy and access its resources by visiting its official website at [andersbll.github.io/deeppy-website](https://andersbll.github.io/deeppy-website/).

Details