https://github.com/kritiksoman/cv-and-neural-nets-basic
https://github.com/kritiksoman/cv-and-neural-nets-basic
adaptive-learning colab-notebook neural-networks rnn tsp-problem
Last synced: 9 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/kritiksoman/cv-and-neural-nets-basic
- Owner: kritiksoman
- Created: 2019-03-31T04:41:20.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2022-09-03T08:12:45.000Z (over 3 years ago)
- Last Synced: 2025-01-11T19:23:43.040Z (over 1 year ago)
- Topics: adaptive-learning, colab-notebook, neural-networks, rnn, tsp-problem
- Language: Jupyter Notebook
- Homepage:
- Size: 21.2 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Neural Network Basics
Contains following:
[1] Adaptive Learning Rate.
[2] Travelling Salesman problem using KSOM.
[3] 2 Layer Neural Network initialized with weights learnt using contrastive divergence.
[4] System Identification using RNN (BPTT and RTRL).
[5] Clustering of PDF files present in a folder