"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
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Updated
Jun 19, 2024 - Jupyter Notebook
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
Data Structures, Algorithms and Machine Learning Optimization
Using Densenet for image classification in PyTorch
Using different optimizers for a comparison study, finding the root of differences by visualization and to find the best case for a specific task
A tour of different optimization algorithms in PyTorch.
A deep learning classification program to detect the CT-scan results using python
Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation
Deep Learning Optimizers
Coursework on global optimization methods (BGD, Adadelta)
Neural Networks and optimizers from scratch in NumPy, featuring newer optimizers such as DemonAdam or QHAdam.
Machine learning algorithm implemented from scratch in python
Applied LSTM algorithm on Amazon Fine Food Review Dataset
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Clean & dependency-free implementation of the ADADELTA algorithm in python.
Hands on implementation of gradient descent based optimizers in raw python
gradient descent optimization algorithms
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
Experimenting with MNIST using the MXNet machine learning framework
🔬 Nano size Theano LSTM module
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