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A flexible artificial neural network builder to analyse performance, and optimise the best model.
Created
2016-10-01
81 commits to master branch, last one 3 years ago
AIKA (Artificial Intelligence for Knowledge Acquisition) is an innovative approach to neural network design, diverging from traditional architectures that rely heavily on rigid matrix and vector opera...
Created
2017-05-24
3,939 commits to main branch, last one 2 months ago
🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) disc...
knn
svm
delta-rule
mnist-dataset
sigmoid-function
accuracy-analysis
comparative-study
efficiency-analysis
logistic-regression
k-nearest-neighbours
multiclass-perceptron
support-vector-machines
artificial-neural-network
support-vector-classifier
machine-learning-algorithms
supervised-machine-learning
handwritten-digit-recognition
mnist-classification-logistic
perceptron-learning-algorithm
learning-algorithms-comparison
Created
2018-07-03
40 commits to master branch, last one 2 months ago
Business Case Study to predict customer churn rate based on Artificial Neural Network (ANN), with TensorFlow and Keras in Python. This is a customer churn analysis that contains training, testing, and...
Created
2021-02-05
51 commits to main branch, last one 3 years ago
This repo contains my work & The code base for this Deep Learning Specialization offered by deeplearning.AI
coursera
andrew-ng
assignment
tensorflow
transformers
deep-learning
specialization
backpropagation
deeplearning-ai
inductive-transfer
python-programming
hyperparameter-tuning
recurrent-neural-network
artificial-neural-network
mathematical-optimization
neural-network-architecture
convolutional-neural-network
Created
2023-05-03
96 commits to main branch, last one about a year ago