Lab$7$: Deep learning Machines Learning

Aim:

To classify images based on deep Learning algorithms.

Objectives:

Read, visualize, analyse and preprocess image datasets for Neural networks machines learning models.

Learn about deep learning machines learning models.

Design Neural Networks mdoels for image classifications.

Design Convolutional Neural Network $($CNN$)$ architecture using Keras.

Analyse the performance of Neural Network models and Convolution Neural Network model.

Risk Assessment: Low

Neural Network

In this section, you will implement a neural network machine learning model to classify images exist in the dataset that you have analysed$/$visualized in the Prelab.

$1\mathrm{.}1$ Preperation

In First, you will import all libraries needed that assest in implementing a neural network model and perform training and evaluation to the model as you have done in the prelab.