This repository holds the projects I developed while following the "Zero to Mastery Learn PyTorch for Deep Learning" Course using Python and PyTorch.
| Link | Description |
|---|---|
| Binary_Classification_linear_model | Linear Regression model of predicting the coordinates of a straight line graph |
| Binary_Classification_non-linear_model | Linear Regression with Rectifier model of predicting the coordinates of a circular spread graph |
| Multi_Classification_model | Muiltiple Linear Regression with Rectifier layer model for predicting datapoint in a region of 2D space |
| Computer_vision_model_without_CNN | Muiltiple Linear Regression with Rectifier layer model for predicting clothing type. Data taken from the FashionMNIST datasets |
| Computer_vision_model_with_CNN | Muiltiple Linear Regression, Rectifier and 2D Convolutional Neural Network layer model for predicting clothing type. Data taken from the FashionMNIST datasets |
| Computer Vision Food Identifier with customised datasets | Implemented the TinyVGG Model which is a muiltiple Linear Regression, Rectifier and 2D Convolutional Neural Network layer model. I used it to make for food predicting application. Data was also transformed to increase amount of test and training data available |