-
Updated
Aug 10, 2024 - Jupyter Notebook
sigmoid-function
Here are 116 public repositories matching this topic...
Implementation of necessary supervised machine learning algorithms for regression and classification.
-
Updated
Jul 31, 2024 - Jupyter Notebook
Group work on MultiLayer Perceptron (MLP) and Hyperparameters Optimization
-
Updated
Jul 31, 2024 - Jupyter Notebook
A humple implementation of the NeuroEvolution of Augmenting Topologies[NEAT] algorithm written purely in Python3.
-
Updated
Jun 27, 2024 - Python
Predict number of JIRA bugs in SSD engineering dev process as a proxy for market readiness
-
Updated
Jun 19, 2024 - Python
Content: Classification, Sigmoid function, Decision Boundary, Cost function, Gradient descent, Overfitting, Regularisation
-
Updated
May 6, 2024 - Jupyter Notebook
implements 8 deep learning models for handwritten digit classification using the MNIST dataset, with variations in architecture and activation functions.
-
Updated
May 3, 2024 - Jupyter Notebook
Implementations of neural networks in python for the classification of MNIST datasets.
-
Updated
Apr 6, 2024 - Jupyter Notebook
Predict whether the cancer is benign or malignant using logistic regression model.
-
Updated
Mar 8, 2024 - Jupyter Notebook
Here I have Demonstrated Some of my Machine Learning works
-
Updated
Jan 2, 2024
Implementation Neural Network in C++
-
Updated
Dec 18, 2023 - C++
Backpropagation in neural networks
-
Updated
Nov 28, 2023 - Jupyter Notebook
Advance Deep learning with Model Implementation ANN && CNN (working.....)
-
Updated
Nov 22, 2023 - Python
trying out neural network with classic MNIST data set
-
Updated
Oct 25, 2023 - Rust
This project utilizes a CNN model to classify cat and dog images through training and testing processes. The model is created using the Keras library on the TensorFlow backend.
-
Updated
Sep 8, 2023 - Python
This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.
-
Updated
Aug 24, 2023 - Python
Learn the fundamentals of building an Artificial Intelligence (AI) powered Neural Network using Python in this comprehensive tutorial. Discover the step-by-step process of designing, training, and fine-tuning a neural network to make accurate predictions on various data sets.Master the essential concepts of deep learning and unleash the power of AI
-
Updated
Aug 3, 2023 - Jupyter Notebook
Deep Learning with TensorFlow Keras and PyTorch
-
Updated
Jul 31, 2023 - Jupyter Notebook
This project provided practice with logistic regression and the cost functions MSE and log loss
-
Updated
Jul 2, 2023 - Python
Improve this page
Add a description, image, and links to the sigmoid-function topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the sigmoid-function topic, visit your repo's landing page and select "manage topics."