simple neural network library in ANSI C
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Updated
Sep 14, 2023 - C
simple neural network library in ANSI C
Implementation of Artificial Neural Networks using NumPy
An easy neural network for Java!
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
Threat Detection System using Hybrid (Machine Learning + Lexical Analysis) learning Approach.
An neural network to classify the handwritten digits 0-9 for the MNIST dataset. No NN/ML libraries used.
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
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.
Deep-Learning neural network to analyze and classify the success of charitable donations.
Implements Back propagation algorithm for multi-layer perceptron in incremental mode
Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet
1. Understand how neural networks work 2. Implement a simple neural network 3. Understand the role of different parameters of a neural network, such as learning rate
This project tried to predict whether applicants will be successful if funded by the Alphabet Soup Co. Alphabet Soup Co. wants to provide funding to companies but it needs to know in advance whether it will be successful or not.
This repository covers the practical applications of Deep Learning
Using keras specify-compile-fit- predict workflow on this binary classification problem to investigate if i'll get better predictions.
Visualisation of Hidden layers of a Sequential model
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