dennybritz / nn-from-scratchLinks
Implementing a Neural Network from Scratch
☆2,087Updated last year
Alternatives and similar repositories for nn-from-scratch
Users that are interested in nn-from-scratch are comparing it to the libraries listed below
Sorting:
- Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano☆897Updated last year
- Code companion to the O'Reilly "Fundamentals of Deep Learning" book☆658Updated 2 years ago
- Exercises for my tutorials on Theano☆684Updated 9 years ago
- Implementing Recurrent Neural Network from Scratch☆489Updated 7 years ago
- Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial☆2,619Updated 4 years ago
- Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.☆1,293Updated 9 years ago
- Exercises for the Deep Learning textbook at www.deeplearningbook.org☆1,369Updated 3 years ago
- use numpy, scipy, and tensorflow to implement these basic ML model and learning algorithm☆923Updated 6 years ago
- Deep Learning Tutorial notes and code. See the wiki for more info.☆4,135Updated 4 years ago
- Summaries and notes on Deep Learning research papers☆4,420Updated 7 years ago
- Implementing Multiple Layer Neural Network from Scratch☆322Updated 9 years ago
- Implementations of CNNs, RNNs, GANs, etc☆1,057Updated 7 years ago
- Deep learning in Python☆1,378Updated 4 years ago
- Recurrent Neural Network - A curated list of resources dedicated to RNN☆6,143Updated 3 years ago
- Introduction to Deep Neural Networks with Keras and Tensorflow☆2,962Updated last year
- Python coded examples and documentation of machine learning algorithms.☆610Updated 4 years ago
- A collection of IPython notebooks covering various topics.☆2,612Updated 4 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago
- Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"☆2,800Updated 4 years ago
- Source Code for the book Building Machine Learning Systems with Python☆2,119Updated 4 years ago
- ☆830Updated last year
- A collection of Kaggle solutions. Not very polished.☆769Updated 6 years ago
- Supporting code for short YouTube series Neural Networks Demystified.☆1,328Updated last year
- Materials for my Pycon 2015 scikit-learn tutorial.☆896Updated 4 years ago
- A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization…☆909Updated last year
- Example demonstrating how gradient descent may be used to solve a linear regression problem☆542Updated 2 years ago
- Source code for the "Learning scikit-learn: Machine Learning in Python"☆395Updated 6 years ago
- Implementation of some deep learning algorithms.☆896Updated 11 years ago
- A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks☆4,183Updated last year
- Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE☆1,955Updated 8 years ago