BojanPLOJ / Bipropagation
Licence: gpl-3.0
Stars: ✭ 41
Projects that are alternatives of or similar to Bipropagation
Easy Deep Learning With Keras
Keras tutorial for beginners (using TF backend)
Stars: ✭ 367 (+795.12%)
Mutual labels: jupyter-notebook, deep-neural-networks, neural-networks
Machine Learning From Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Stars: ✭ 42 (+2.44%)
Mutual labels: jupyter-notebook, neural-networks, machine-learning-algorithms
Color Accessibility Neural Network Deeplearnjs
🍃 Using a Neural Network to improve web accessibility in JavaScript.
Stars: ✭ 230 (+460.98%)
Mutual labels: deep-neural-networks, neural-networks, machine-learning-algorithms
Pytorchnlpbook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
Stars: ✭ 1,390 (+3290.24%)
Mutual labels: jupyter-notebook, deep-neural-networks, neural-networks
Machine Learning Notebooks
Machine Learning notebooks for refreshing concepts.
Stars: ✭ 222 (+441.46%)
Mutual labels: jupyter-notebook, neural-networks, machine-learning-algorithms
Deep Math Machine Learning.ai
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Stars: ✭ 173 (+321.95%)
Mutual labels: jupyter-notebook, deep-neural-networks, neural-networks
Btctrading
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
Stars: ✭ 99 (+141.46%)
Mutual labels: jupyter-notebook, deep-neural-networks, machine-learning-algorithms
Machine learning basics
Plain python implementations of basic machine learning algorithms
Stars: ✭ 3,557 (+8575.61%)
Mutual labels: jupyter-notebook, neural-networks, machine-learning-algorithms
Daily Neural Network Practice 2
Daily Dose of Neural Network that Everyone Needs
Stars: ✭ 18 (-56.1%)
Mutual labels: jupyter-notebook, neural-networks, machine-learning-algorithms
Tf Keras Surgeon
Pruning and other network surgery for trained TF.Keras models.
Stars: ✭ 25 (-39.02%)
Mutual labels: jupyter-notebook, deep-neural-networks
Sentence Aspect Category Detection
Aspect-Based Sentiment Analysis
Stars: ✭ 24 (-41.46%)
Mutual labels: jupyter-notebook, neural-networks
Kalasalingam
IEEE "Invited Talk on Deep Learning" 03/02/2018
Stars: ✭ 13 (-68.29%)
Mutual labels: jupyter-notebook, deep-neural-networks
Py Style Transfer
🎨 Artistic neural style transfer with tweaks (pytorch).
Stars: ✭ 23 (-43.9%)
Mutual labels: jupyter-notebook, neural-networks
Concise Ipython Notebooks For Deep Learning
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Stars: ✭ 23 (-43.9%)
Mutual labels: jupyter-notebook, deep-neural-networks
Traffic Sign Classifier
Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier
Stars: ✭ 12 (-70.73%)
Mutual labels: jupyter-notebook, neural-networks
Deepfake Detection
DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.
Stars: ✭ 23 (-43.9%)
Mutual labels: jupyter-notebook, deep-neural-networks
Servenet
Service Classification based on Service Description
Stars: ✭ 21 (-48.78%)
Mutual labels: jupyter-notebook, deep-neural-networks
Csc deeplearning
3-day dive into deep learning at csc
Stars: ✭ 22 (-46.34%)
Mutual labels: jupyter-notebook, deep-neural-networks
Udacity Deep Learning Nanodegree
This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY
Stars: ✭ 15 (-63.41%)
Mutual labels: jupyter-notebook, neural-networks
Bipropagation
This is a demo app of the BIPROPAGATION - a new Deep Learning algorithm. This app is written in Python/TensorFlow. This algorithm is an upgrade of the Backpropagation, it is 25 times faster from it and much more reliable (near 100%). BipropagationXOR.py is written for TensorFlow version 0.9, BipropagationXOR1.py is written for TensorFlow version 1.0. Python version is 3.5 in both cases . More info on: https://www.researchgate.net/publication/263656250_Advances_in_Machine_Learning_Research
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].