simple neural network library in ANSI C
c neural-network genetic-algorithm ansi tiny neural-networks artificial-neural-networks neurons ann backpropagation hidden-layers neural
- Updated
- C
#
hidden-layers
Here are 67 public repositories matching this topic...
An easy neural network for Java!
java lightweight learning machine-learning neural-network matrix prediction artificial-intelligence matrices easy-to-use neurons weight weights hidden-layers matrix-calculations learning-rate begginer
- Updated
- Java
Implementation of Artificial Neural Networks using NumPy
python machine-learning deep-learning numpy python3 artificial-neural-networks ann hidden-layers fully-connected-network dense pygad
- Updated
- Python
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
python neural-network mnist convolutional-layers autoencoder convolutional-neural-networks hidden-layers cifar10 reconstructed-images strided-convolutions convolutional-autoencoders
- Updated
- Python
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
machine-learning lstm hyperparameter-optimization stock-price-prediction hidden-layers hyperparameter-tuning lstm-neural-networks optimisation activation-functions indian-stock-market
- Updated
- Jupyter Notebook
Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an optimal packing strategy during their training.
- Updated
- Python
Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.
python machine-learning sentiment-analysis anaconda numpy neural-networks lexicon lexical-analysis hidden-layers spyder nltk-library threat-detection
- Updated
- Python
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
machine-learning neural-network imagine mnist-dataset python-implementation weights backpropagation layer-neurons hidden-layers learn-backpropagation solve-for-inputs neural-network-example
- Updated
- Python
Genann library port to C#, simple neural network library in ANSI C
csharp neural-network genetic-algorithm tiny neural-networks artificial-neural-networks neurons ann backpropagation hidden-layers neural
- Updated
- C#
Neural Network to predict which wearable is shown from the Fashion MNIST dataset using a single hidden layer
neural-network mnist-classification hidden-layers adam-optimizer softmax-classifier relu-layer cross-entropy-loss
- Updated
- Python
Snoop can be used to expand shortened Links such as those from bit.ly etc.to their original form without actually visting them. right from your terminal
hidden-layers snoopy link-expander link-detection malicious-url-detection short-links snoop bitlyhhhannnahhh hunters
- Updated
- Shell
"One Hidden Layer Neural Network" from Scratch
data-science machine-learning deep-learning neural-network hidden-layers from-scratch from-scratch-in-python
- Updated
- Jupyter Notebook
"Deep Neural Network" from Scratch
python data-science machine-learning deep-neural-networks deep-learning neural-network hidden-layers from-scratch from-scratch-in-python
- Updated
- Jupyter Notebook
A neural network (NN) having two hidden layers is implemented, besides the input and output layers. The code gives choise to the user to use sigmoid, tanh orrelu as the activation function. Prediction accuracy is computed at the end.
- Updated
- Python
one layer and two layer neural networks
neural-network delta perceptron hidden-layers multilayer-perceptron-network perceptron-learning-algorithm multilayer-neural-network yapay-sinir-aglari
- Updated
- C++
CNN Deep Layer Filters Visualization using Tensorflow.
- Updated
- Python
Deep-Learning neural network to analyze and classify the success of charitable donations.
deep-learning neural-network tensorflow seaborn neurons perceptron hidden-layers colaboratory sigmoid-activation relu-activation
- Updated
- Jupyter Notebook
Deep Learning projects
python deep-learning neural-network numpy artificial-intelligence logistic-regression hidden-layers classification-model
- Updated
- Jupyter Notebook
Improve this page
Add a description, image, and links to the hidden-layers topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the hidden-layers topic, visit your repo's landing page and select "manage topics."