Use of various deep learning models to classify flowers. Models are implemented from scratch in PyTorch using only tensor operations.
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Updated
Dec 18, 2018 - Jupyter Notebook
Use of various deep learning models to classify flowers. Models are implemented from scratch in PyTorch using only tensor operations.
An easy implementation of the Stochastic / Batch gradient descent and comparison with the standard Gradient Descent Method
Debugging tool for Le Framework
Implementation and in-depth comparative analysis of two foundational machine learning optimization algorithms, Stochastic Gradient Descent (SGD) and Batch Gradient Descent (BGD).
developed a model that can predict air temperature according to atmospheric pressure.
Detect Spam E-Mails
线性回归算法,close-form, batch 梯度下降,mini-batch 梯度下降,随机梯度下降,RMSE
Linear Regression - Batch Gradient Descent
Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)
This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)
Coursework on global optimization methods (BGD, Adadelta)
Implement Linear Regression class and experiment with Batch, Mini Batch and Stohastic Gradient Descent
Numerical Optimization for Machine Learning & Data Science
Gradient Descent with multiple method: Univariate - Multivariate, Momentum, Batch Gradient Descent, ...
Gradient Descent(From Scratch & With TensorFlow)
A basic neural net built from scratch.
Implementation of linear regression with L2 regularization (ridge regression) using numpy.
Analyzing and overcoming the curse of dimensionality and exploring various gradient descent techniques with implementations in R
Recreated Poudlard's Sorting Hat by implementing logistic regression from scratch.
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