Machine learning algorithms in Dart programming language
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Updated
Jan 2, 2024 - Dart
Machine learning algorithms in Dart programming language
Google Street View House Number(SVHN) Dataset, and classifying them through CNN
My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python
Short description for quick search
Notebook for quick search
Coursera - Deep Learning Specialization - deeplearning.ai
Curso Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization. Segundo curso del programa especializado Deep Learning. Este repositorio contiene todos los ejercicios resueltos. https://www.coursera.org/learn/neural-networks-deep-learning
MNIST Handwritten Digits Classification using 3 Layer Neural Net 98.7% Accuracy
Gradient_descent_Complete_In_Depth_for beginners
Predicting House Price from Size and Number of Bedrooms using Multivariate Linear Regression in Python from scratch
All about machine learning
Logistic regression using JAX to support GPU acceleration
The laboratory from CLOUDS Course at EURECOM
[Coursera] Deep Learning Specialization on Coursera
For learning, visualizing and understanding the optimization techniques and algorithms.
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.
Various methods for Deep Learning, SGD and Neural Networks.
Implementation of a support vector machine classifier using primal estimated sub-gradient solver in C++ and CUDA for NVIDIA GPUs
This project explored the Tensorflow technology, tested the effects of regularizations and mini-batch training on the performance of deep neural networks
Numerical Optimization for Machine Learning & Data Science
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