rmsprop

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being-aerys / Deep_Learning_CS535_Winter-2019

deep-learning cnn pytorch dropout batch-normalization adaptive-learning cifar10 data-augmentation adagrad rmsprop adam-optimizer

Updated May 19, 2019
Python

proafxin / Localizer

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This is a tool for localizing objects in images.

python machine-learning computer-vision tensorflow jupyter-notebook yolo gradient-descent rmsprop adam-optimizer labelimg darkflow

Updated Jul 25, 2020
Python

B0s0 / Dimag

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Dimag, Nepali for the brain is an object-oriented neural network framework developed by me using python3.

python framework ai neural-network numpy cnn neural-networks derivatives adagrad rmsprop softmax adam-optimizer sgd-optimizer numpy-neural-network nnfs sigmoid-activation relu-activation mnist-fashion-classification

Updated Oct 21, 2021
Python

johnathanalyst / Coursera-Deep-Learning

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A five-course specialization covering the foundations of Deep Learning, from building CNNs, RNNs & LSTMs to choosing model configurations & paramaters like Adam, Dropout, BatchNorm, Xavier/He initialization, and others.

deep-learning optimization convergence batch-normalization yolo image-classification regularization convolutional-neural-networks object-detection residual-networks rmsprop bias-variance adam-optimizer mini-batch-gradient-descent neural-style-transfer gradient-checking

Updated Apr 26, 2019
Jupyter Notebook

rjnp2 / deep_learning_from_scratch

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deep-learning gpu cnn conv rmsprop cupy dense mean-absolute-error

Updated Feb 22, 2021
Python

mnguyen0226 / second_order_ml

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Survey on performance between Ada-Hessian vs well-known first-order optimizers on MNIST & CIFAR-10 datasets

mnist sgd cifar10 adam adagrad rmsprop adamw adahessian

Updated Dec 8, 2021
Python

KooroshRH / InceptionV3-transfer-learning

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A simple classifier model that fine-tune the InceptionV3 model

tensorflow inceptionv3 rmsprop classification-model cat-vs-dog

Updated Aug 4, 2022
Jupyter Notebook

pranavphoenix / Optimizer-lr-tuning

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Analyze the performance of 7 optimizers by varying their learning rates

optimizer hyperparameters sgd hyperparameter-optimization mri-images unet hyperparameter-tuning learning-rate adam rmsprop adamax cardiac-segmentation lr sgd-optimizer unet-image-segmentation nadam

Updated Dec 20, 2020
Jupyter Notebook

KrishArul26 / TensorFlow_Certificate_Exam-Prepration

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This is repo is in development. It is used to keep resources, course references, and code examples while preparing for the TensorFlow Developer Certification exam. If the work here helps you in some way please feel free to share, fork, or star.

python tensorflow resnet transfer-learning nlp-machine-learning optimization-algorithms rmsprop pycharm-ide tensorflowhub efficientnet tesnsorboard

Updated Sep 21, 2021
Jupyter Notebook

Mohammad-Heydariii / Stock-Market-Prediction

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in this repository we intend to predict Google and Apple Stock Prices Using Long Short-Term Memory (LSTM) Model in Python. Long Short-Term Memory (LSTM) is one type of recurrent neural network which is used to learn order dependence in sequence prediction problems. Due to its capability of storing past information, LSTM is very useful in predict…

mse lstm gru stock-price-prediction rnn adagrad rmsprop adam-optimizer droupout mape