Previously was part of the Skew_Detection project. As a result of - Deep Learning models creation and training - being a repeated task of Machine Learning Projects, this small repository was created for:

• Downloading the data set
• Basic data preproccesing
• Creating, training and testing a Deep Learning model

A brief of each file purpose:

• Data - used for downloading, preparing and loading of the data.

• DataSequence - used for creating data generators, useful when dealing with large data sets that can't be entirely loaded into the memory.

• image_utils - offers basic image processing such as image padding and resizing, extracting patches from the image.

• Model - used to create, train and test models. can also load and save trained models, can plot training process, and supports data generators and transfer learning

• Model_and_Data_Configuration - holds all the parameters of the model such as the loss function, metrics, optimizer, structure. also contains the necessary paths to access the data.

• model_creation - receives all the nessary information from Model_and_Data_Configuration. loads the dataset by using the Data Class and feeds it to a new model according to Model_and_Data_Configuration.