mini-batch
There are 12 repositories under mini-batch topic.
zzw922cn/TensorFlow-Input-Pipeline
TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue
kuixu/MiniBatchSVM
Mini-batch SVM / Logistic Regresion, Online learning for large scale data.
Saket-Kr/ML-Prep
A repo holding the implementation as well as some theoretical explanation of the important relevant concepts. It is going to be in development for a long long time. I'll keep adding things everytime I have something to add to it, and I have the time for it. One can use it to learn the basics of Machine Learning from kind of scratch.
snowkylin/async_rl
Tensorflow implementation of asyncronous 1-step Q learning in "Asynchronous Methods for Deep Reinforcement Learning" with improvement on weight update process (use minibatch) to speed up training.
eklitzke/tf-slice
Demonstration of generating mini-batches in Tensorlfow from GPU memory.
TIXFeniks/batch-iterator
Usefull python implementation of batch iterator.
Heba-Atef99/ML_optimization_algorithms
This is an implementation of different optimization algorithms such as: - Gradient Descent (stochastic - mini-batch - batch) - Momentum - NAG - Adagrad - RMS-prop - BFGS - Adam Also, most of them are implemented in vectorized form for multi-variate problems
zahiriddin-rustamov/gais
Graph Attention-based Instance Selection (GAIS). Python package for a novel instance selection method utilizing graph attention networks.
CharaZhu/Airplane-Status-Prediction
Predict airplane's status by implementing Linear Regression with Regularization, Batch/ Mini-Batch/ Stochastic Gradient Descent.
akshaykulkarni07/deep_learning_models
Use of various deep learning models to classify flowers. Models are implemented from scratch in PyTorch using only tensor operations.
antonio-f/Linear-Regression-and-Gradient-Descent-methods
Examples of Linear Regression and three Gradient Descent methods (Batch, Stochastic and Mini-Batch)
rohitshubham/edge_simulator
Provides a basic edge simulator