sm823zw / Neural-Network-Backprop-using-CLinks
In this repo, the backpropagation algorithm in feedforward neural networks is implemented from scratch using C.
☆14Updated 4 years ago
Alternatives and similar repositories for Neural-Network-Backprop-using-C
Users that are interested in Neural-Network-Backprop-using-C are comparing it to the libraries listed below
Sorting:
- A c/c++ implementation of micrograd: a tiny autograd engine with neural net on top.☆77Updated 2 years ago
- Machine Learning library for educational purpose.☆342Updated last year
- ☆20Updated 4 years ago
- Code accompanying Deep Learning tutorials on blog - including implementations of CNN and LSTM from scratch☆25Updated 4 years ago
- Natural Language processing in tensorflow☆13Updated 3 years ago
- A list of research papers in the domain of machine learning, deep learning and related fields.☆180Updated last year
- This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.☆435Updated 8 months ago
- Projects on AI topics like speech recognition, face recognition, and neural machine translation + Projects on engineering my own version …☆56Updated 5 years ago
- 100 Must-Read NLP Papers☆54Updated 5 years ago
- Popular and less popular machine learning and data processing algorithms implemented in Python☆54Updated 7 years ago
- Graduate course on Machine Learning☆127Updated 6 years ago
- A collection of Operating System Resources for students and teachers☆86Updated 2 years ago
- This repository contains machine learning pdf books☆28Updated 6 years ago
- Generic data structures and algorithms implemented in c language.☆81Updated 3 years ago
- GPT-2 in C☆79Updated last year
- My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867☆348Updated last year
- How to build RNNs and LSTMs from scratch with NumPy.☆274Updated 5 years ago
- Spring 2018☆18Updated 7 years ago
- Contains all relevant scripts & tools developed to assist in conducting the first iteration of the Indian Inter-college Competitive Progr…☆11Updated last year
- A collection of awesome mathematics and computer science courses☆138Updated last year
- Learning Fundamentals of Machine Learning all over along with Stanford's Andrew Ng☆50Updated 2 years ago
- "The 50-50-90 rule: anytime you have a 50-50 chance of getting something right, there's a 90% probability you'll get it wrong." ― Andy Ro…☆36Updated 6 years ago
- A Great Collection of Deep Learning (e)Books☆167Updated last year
- Apply GPU in ML and DL☆55Updated 3 months ago
- I will build Transformer from scratch☆85Updated 5 months ago
- A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well …☆183Updated last year
- HPC Details and Use of IIT Delhi☆73Updated 3 years ago
- C++ implementation of micrograd and much more!☆15Updated this week
- [Coursera] Introduction to Discrete Mathematics for Computer Science Specialization☆112Updated 4 years ago
- selected papers☆31Updated last year