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