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Search results for adam optimizer
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34 search results found
Radam
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2,393
On the Variance of the Adaptive Learning Rate and Beyond
Deepnet
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267
Implementations of CNNs, RNNs and deep learning techniques in pure Numpy
Crowded Valley Results
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129
This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
Optimizer Visualization
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101
Visualize Tensorflow's optimizers.
Cs F425_deep Learning
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89
CS F425 Deep Learning course at BITS Pilani (Goa Campus)
Padam Tensorflow
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51
Reproducing the paper "PADAM: Closing The Generalization Gap of Adaptive Gradient Methods In Training Deep Neural Networks" for the ICLR 2019 Reproducibility Challenge
Svhn Cnn
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40
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
Deep Learning Optimization Algorithms
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37
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Cs231n
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36
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Adasoptimizer
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33
ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance
Learning Lab C Library
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30
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
Adam Optimizer
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28
Implemented Adam optimizer in python
Ml Optimizers Jax
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23
Toy implementations of some popular ML optimizers using Python/JAX
Lookahead_tensorflow
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21
Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow
Gradient Descent Algorithms
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19
A collection of various gradient descent algorithms implemented in Python from scratch
Haskell Vae
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17
Learning about Haskell with Variational Autoencoders
Deeplearning_from_scratch
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16
A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.
Hypergradient_variants
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16
Improved Hypergradient optimizers, providing better generalization and faster convergence.
Timeserieslearning
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14
The project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
Machinelearning
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13
From linear regression towards neural networks...
Count Sketch Optimizers
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10
A compressed adaptive optimizer for training large-scale deep learning models using PyTorch
Ddpg_numpy_only
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9
Implemenation of DDPG with numpy only (without Tensorflow)
Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization
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9
Short description for quick search
Nadir
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8
Nadir is a library of bleeding-edge optimisers built for speed and functionality in PyTorch for researchers 💙
Gradientdescent_implementation
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8
Implement different variants of gradient descent in python using numpy
Digit Recognizer
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8
A project I made to practice my newfound Neural Network knowledge - I used Python and Numpy to train a network to recognize MNIST images. Adam and mini-batch gradient descent implemented
Paper Implementation Overview Gradient Descent Optimization Sebastian Ruder
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7
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Simplenn
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6
a simple neural network
Networks
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6
Library which can be used to build feed forward NN, Convolutional Nets, Linear Regression, and Logistic Regression Models.
Neural Style Transfer
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6
Generate novel artistic images using neural style transfer algorithm
Optimizers Visualizations
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5
A Repository to Visualize the training of Linear Model by optimizers such as SGD, Adam, RMSProp, AdamW, ASMGrad etc
Multilabel Image Classification Using Contractive Autoencoder
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5
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
Nd Adam
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5
ND-Adam is a tailored version of Adam for training DNNs.
Gradient Descent
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5
A research project on enhancing gradient optimization methods
1-34 of 34 search results
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