Repository for old numpy/tf ML scripts.
Implementation and training of fully connected neural network using numpy. Calculation of gradients and SGD implemented manually.
Implementation of classic logistic classifier using numpy. Calculation of negative log likelihood and weight derivatives done manually.
K-NN classifier using numpy.
Convolutional neural net from coursework. Backward pass equations for convolutional layer and momentum weight update implemented.
CNN on MNIST using high-level tensorflow Estimator API
Fully connected NN for facial classification using numpy. Transfer learning from conv4 layer of alexnet (in tensorflow) also implemented.
Simple CNN for MNIST classification implemented in tensorflow.