This is a demo project to practice basic coding in context of ML. The objective of this demo project is to get quickly familiar with some useful and popular libraries.
Target libraries: numpy, pandas, matplotlib, scikit-learn
Target libraries: Tensorflow
-
Fashion MNIST Classifier with neural network - A fully connected feed forward neural network implemented with TensorFlow to classify Fashion MNIST dataset. Based on the official tutorial from the Tensorflow documentation. (Results)
-
MNIST Classifier with neural network - A Convolutional Neural Network implemented with TensorFlow to classify the MNIST dataset. (Results)
Target libraries: PyTorch
- A simple NN implementation in PyTorch - Generated random data points; Interestingly a neural network with 1-hidden layer is underfitting even for simple functions like y = x, y = x^2 etc... Will check on this behaviour in future.