🔬 Nano size Theano LSTM module
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Updated
Nov 16, 2016 - Python
🔬 Nano size Theano LSTM module
A tour of different optimization algorithms in PyTorch.
Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
Neural Networks and optimizers from scratch in NumPy, featuring newer optimizers such as DemonAdam or QHAdam.
Hands on implementation of gradient descent based optimizers in raw python
Applied LSTM algorithm on Amazon Fine Food Review Dataset
Deep Learning Optimizers
Using Densenet for image classification in PyTorch
Clean & dependency-free implementation of the ADADELTA algorithm in python.
Coursework on global optimization methods (BGD, Adadelta)
Experimenting with MNIST using the MXNet machine learning framework
A deep learning classification program to detect the CT-scan results using python
"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"
Using different optimizers for a comparison study, finding the root of differences by visualization and to find the best case for a specific task
gradient descent optimization algorithms
Data Structures, Algorithms and Machine Learning Optimization
Machine learning algorithm implemented from scratch in python
Classification of data using neural networks — with back propagation (multilayer perceptron) and with counter propagation
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