forward-propagation

There are 0 repository under forward-propagation topic.

olivia-ai / the-math-behind-a-neural-network
Mathematics paper recapitulating the calculus behind a neural network and its back propagation
artificial-neural-network backpropagation deep-learning forward-propagation guide machine-learning math neural-network
Language:TeX 129
navjindervirdee / neural-networks
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
neural-networks convolutional-neural-networks scratch python jupyter-notebook cnn handwritten-digit-recognition iris-dataset convolutional-layers derivatives forward-propagation backward-propagation numpy matplotlib lstm-neural-networks rnn backward-propagation-through-time lstm-cells lstm-networks deep-learning
Language:Jupyter Notebook 38
Akramz / grokking-deep-learning-notebooks
Notes & Code to go over "Grokking Deep Learning" Book by Andrew Trask
machine-learning deep-learning artificial-intelligence neural-networks numpy numpy-tutorial rnn lstm federated-learning forward-propagation backpropagation sgd
Language:Jupyter Notebook 24
hussain0048 / Deep-Learning
This repository is a related to all about Deep Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
binaryclassification computation deep-learning derivatives graph logistic-regression neural-network supervised-learning convolutional-neural-networks keras machine-learning python tutorial logistic-regression-gradient-descent gradient-descent-on-m-examples vectorization vectorizing-logistic-regression activiation deep-network forward-propagation
Language:Jupyter Notebook 15
hellonlp / deep-learning
搭建、深度学习、前向传播、反向传播、梯度下降和模型参数更新、classification、forward-propagation、backward-propagation、gradient descent、python、text classification
numpy text-classification python gradient-descent forward-propagation backward-propagation
Language:Python 7
srilakshmi-thota / IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK
Neural Network with functions for forward propagation, error calculation and back propagation is built from scratch and is used to analyse the IRIS dataset.
python3 machine-learning neural-network iris-dataset sigmoid-function backpropagation forward-propagation sklearn-library
Language:Python 5
bhavaniprasad73 / Artificial-Neural-Network
Artificial Neural Network - Wisconsin Breast Cancer Detection
artificial-neural-networks machine-learning neural-networks data-science datamining confusion-matrix prediction binary-classification artificial-intelligence backpropagation forward-propagation breast-cancer-wisconsin breast-cancer-prediction breastcancer-classification supervised-learning classification-algorithm scikit-learn scikitlearn-machine-learning
Language:Jupyter Notebook 4
Apoorv070 / Deep_learning_Basics
Learning about Perceptron and Multi layered perceptron
deep-learning deep-neural-networks backward-propagation forward-propagation classification
Language:Jupyter Notebook 3
Neural-Network-Manim
LeeSinLiang / Neural-Network-Manim
Code for my youtube video: Neural Network Crash Course, Ep 1
animation deep-learning deep-neural-networks forward-propagation manim manim-animations neural-network nn python visualization youtube neural-networks-from-scratch neural-network-crash-course
Language:Python 3
Zahra-Bakhtiari / Building-Deep-Neural-Network-Step-by-Step-Instruction
building a deep neural network with as many layers as you want!
backward-propagation cost-function deep-neural-network forward-propagation relu sigmoid-function
Language:Jupyter Notebook 3
CICIFLY / Deep-Learning-Projects
CNN, ANN, Python, Matlab
forward-propagation backward-propagation artificial-neural-networks
Language:Python 2
raffal88 / Machine-learning
Python version of Andrew Ng's Machine Learning Course.
linear-regression logistic-regression python kmeans-clustering neural-networks forward-propagation backward-propagation support-vector-machine minimize-function spam-classifier overfitting underfitting polynomial-regression data-visualization principal-component-analysis regularization
Language:Jupyter Notebook 2
xujiachang1024 / NumPy-based-Neural-Network
A highly modular design and implementation of fully-connected feedforward neural network structured on NumPy matrices
numpy artificial-intelligence machine-learning deep-learning neural-network framework matrix forward-propagation backward-propagation gradient-descent optimization feedforward-neural-network feedforward
Language:Python 2
yashsriram / spnn
A comparison of fully connected network (forward and backward propagation) implementations.
fully-connected-network cuda openmp gpu backward-propagation forward-propagation blas openblas
Language:C++ 2
Access-Denied-001 / Neural-Net
Neural Network made by using numpy
machine-learning neural-network batches forward-propagation numpy python
Language:Jupyter Notebook 1
alessiopittiglio / image-processing-transmission
Exercises done during the Image Processing and Transmission course
image-processing matlab jpeg jpeg-image-compression rgb histogram-image dct2 forward-propagation grayscale-images
Language:MATLAB 1
amatov / PowerLineCommunication
probability-density-function gauss-error-function probabolity-of-error impedance-mismatch signal-reflection power-line-cables cable-impedances gaussian-complementary-integral propagation-velocity-in-lines speed-of-light termination-impedances back-propagation forward-propagation reflection-coefficient probability-density-estimation anticipate-quality-of-transmission digital-power-lines multiple-branched-lines three-inner-conductors frequency-response
Language:MATLAB 1
ashish230897 / Deep-Neural-Networks-From-Scratch
Designing Your Own Deep Neural Network
deep-neural-networks backpropagation regularization classification-task forward-propagation
Language:Jupyter Notebook 1
chiapeilin / Neural-Network
The code of forward propagation , cost function , backpropagation and visualize the hidden layer.
forward-propagation backward-propagation hidden-layers cost-function
Language:Jupyter Notebook 1
ejdecena / Redes-Neuronales
Este repositorio sirve de apoyo en la asignatura de Redes Neuronales.
neural-network neural-networks redes-neuronales artificial-intelligence artificial-neural-networks artificial-neural-network backpropagation forward-propagation perceptron-neural-networks
Language:Python 1
imkalyan / Neuralnetworks
Some algorithms which uses neural networks to solve i.e., forwardpropagation , etc.,
backwardpropagation forward-propagation neural-machine-translation neural-network neural-network-example neuralnetworks norms sigmoid-function
Language:C 1
krtab / fwd_ad
Fwd:AD is a Rust library (crate) to perform forward auto-differentiation, with a focus on empowering its user to manage memory location and minimize copying. This repo is a mirror of https://gitlab.inria.fr/InBio/Public/fwd_ad.
automatic-differentiation forward-propagation dual-numbers
Language:Rust 1
lmbarr / cnn_mnist
CNN MATLAB implementation (including training and forward propagation) to clasifify the MNIST handwritten numbers.
cnn-classification mnist-classification matlab machine-learning forward-propagation
Language:MATLAB 1
NeckersBOX / n3lib
Neural Network library customizable written in C. Threads implementations in both forward and backward propagation.
neural-network backpropagation forward-propagation library threads
Language:C 1
OMEGAMAX10 / Machine-Learning-Programming-Assigments-Coursera-Andrew-Ng
These are the solutions to the programming assigments from Andrew Ng's "Machine Learning" course from Coursera
programming-assigments machine-learning coursera andrew-ng andrew-ng-machine-learning stanford-machine-learning matlab linear-regression logistic-regression neural-network backpropagation forward-propagation svm-classifier recommender-system
Language:MATLAB 1
PasaOpasen / cost2fitness
PyPI package for 1) conversion cost values (less is better) to fitness values (more is better) and vice versa, 2) using fast neural networks for forward propagation
cost-optimization fitness-score converter pipeline pypi-package evolution transformer pypi neural-networks forward-propagation nn
Language:Python 1
pradeepdev-1995 / Gradient-descent
Gradient descent is a first-order iterative optimization algorithm for finding a local minimum of a differentiable function. To find a local minimum of a function using gradient descent, we take steps proportional to the negative of the gradient (or approximate gradient) of the function at the current point. But if we instead take steps proportional to the positive of the gradient, we approach a local maximum of that function; the procedure is then known as gradient ascent.
gradient-descent machine-learning training weights backpropagation forward-propagation artificial-neural-networks activation-functions sigmoid optimization
Language:Jupyter Notebook 1
rainaa0277 / Fashion-MNIST-Classifier-using-ANN
Fashion training set consist of 70,000 images divided into 60,000 training and 10,000 testing samples. Dataset samples consists of 28x28 grayscale image associated with a label from 10 calsses.
ann classification multiclass-image-classification forward-propagation image-classification feedforward-neural-network python tensorflow keras-tensorflow keras-neural-networks
Language:Jupyter Notebook 1
sef007 / Neural-Network-Email-Classifier-Numpy-Only
Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.
activation-functions backward-propagation forward-propagation gradient-descent hyperparameter-search one-hot-encoding weight weights-and-biases
Language:Python 1
Arya920 / Different-ML-Models
Please feel free to explore the projects, review the code, and provide any feedback or suggestions. I am open to collaboration and eager to learn from the broader data science and machine learning community. Let's connect and learn together!
candidate-elimination decision-trees forward-propagation linear-regression logistic-regression naive-bayes-classifier neural-network random-forest support-vector-machines svm-classifier
Language:Jupyter Notebook 0
krish1925 / Neural-Nets-Deep-Learning
Coursework for the class ECE C147 (Neural Networks and Deep Learning)
adam-optimizer backpropagation broadcasting cnn deep-learning forward-propagation neural-network python rnn
Language:Jupyter Notebook 0
slothengineer / DeepLearning-Concepts
activation-functions batchnormalization callback-functions deep-learning ann backward-propagation cnn-architecture deep-neural-networks forward-propagation keras neural-network neural-networks regularization tensorflow
Language:Jupyter Notebook 0
aadityasikder / Neural-Network-from-Scratch-
This notebook demonstrates a neural network implementation using NumPy, without TensorFlow or PyTorch. Trained on the MNIST dataset, it features an architecture with input layer (784 neurons), two hidden layers (132 and 40 neurons), and an output layer (10 neurons) with sigmoid activation.
backward-propagation evaluation forward-propagation mnist-dataset neural-network neural-networks-from-scratch numpy training
Language:Jupyter Notebook
estandengrant / Neural_Network_Utilities
Utilities for Neural Network construction and use
deep-learning forward-propagation neural-network numpy weights-and-biases
Language:Python
mikeleo03 / Artificial-Neural-Network
Implementation of Artificial Neural Network from Scratch using Python and Jupyter Notebook
ann backward-propagation forward-propagation machine-learning mini-batch-gradient-descent neural-network
Language:Jupyter Notebook
SindorimBear / Forward_Prop
Code describing the Forward Propagation
forward-propagation machine-learning
Language:Python

forward-propagation

olivia-ai / the-math-behind-a-neural-network

navjindervirdee / neural-networks

Akramz / grokking-deep-learning-notebooks

hussain0048 / Deep-Learning

hellonlp / deep-learning

srilakshmi-thota / IRIS-DATASET-ANALYSIS-USING-NEURAL-NETWORK

bhavaniprasad73 / Artificial-Neural-Network

Apoorv070 / Deep_learning_Basics

LeeSinLiang / Neural-Network-Manim

Zahra-Bakhtiari / Building-Deep-Neural-Network-Step-by-Step-Instruction

CICIFLY / Deep-Learning-Projects

raffal88 / Machine-learning

xujiachang1024 / NumPy-based-Neural-Network

yashsriram / spnn

Access-Denied-001 / Neural-Net

alessiopittiglio / image-processing-transmission

amatov / PowerLineCommunication

ashish230897 / Deep-Neural-Networks-From-Scratch

chiapeilin / Neural-Network

ejdecena / Redes-Neuronales

imkalyan / Neuralnetworks

krtab / fwd_ad

lmbarr / cnn_mnist

NeckersBOX / n3lib

OMEGAMAX10 / Machine-Learning-Programming-Assigments-Coursera-Andrew-Ng

PasaOpasen / cost2fitness

pradeepdev-1995 / Gradient-descent

rainaa0277 / Fashion-MNIST-Classifier-using-ANN

sef007 / Neural-Network-Email-Classifier-Numpy-Only

Arya920 / Different-ML-Models

krish1925 / Neural-Nets-Deep-Learning

slothengineer / DeepLearning-Concepts

aadityasikder / Neural-Network-from-Scratch-

estandengrant / Neural_Network_Utilities

mikeleo03 / Artificial-Neural-Network

SindorimBear / Forward_Prop