AI-projects
Collection of ML/Deep Learning projects that I created during my studies of deep learning.
Contents
Boston housing prices
Regression of boston housing prices using neural network, linear regression and SVM.
Character RNN
Predicting next character in a text using vanilla Recursive Neural Network.
https://github.com/Bill2462/AI-projects/blob/master/character_rnn/character_rnn.ipynb
Flower classifier
Classification of flowers using densenet. Transfer learning and fine tuning are applied to achive 92% accuracy on test set.
Fashion mnist and LeNet
Classification of clothes from MNIST - fashion dataset using different versions of LeNet.
https://github.com/Bill2462/AI-projects/blob/master/lenet_fashion_mnist/lenet_fashion_mnist.ipynb
Enjoy!