Multi-layer perceptron classification
Open
Algorithm
difficulty-hard
lang-python
- Dominant language
- Java
- Stars
- 1.1k
- Forks
- 487
- PR merge metrics
- No merged PRs in 30d
Description
# Details:
Single hidden layer multi layer perceptron to predict the handwritten digit.
## Dataset:
MNIST dataset by-Yann LeCun,Corinna Cortes,Christopher J.C. Burges
## Python Library used:
Tensorflow ([https://www.tensorflow.org](https://www.tensorflow.org))
Contributor guide
Research direction
The issue names no repository file, test, or entry point. Start by inspecting the repository structure and existing algorithm conventions, then determine where a Python TensorFlow example belongs; done means a single-hidden-layer model that predicts handwritten digits from the MNIST dataset.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100