June, 18, 2023

Neural Network in Machine Learning Example

In the previous lesson, we understood the building blocks of a neural network, were introduced to different activation functions, understood the difference between shallow and deep neural networks, and became ready to use our software tools to develop a neural network.

neural network architecture machine learning — In the previous lesson, we learned about neural network architecture in Machine Learning (ML).

In this lesson, we will see a neural network in machine learning example where we will:

Work on a multi-class classification problem where a robot is expected to distinguish between dogs and cars and,
Implement neural networks using Python and TensorFlow

neural network machine learning example where a robot is expected to distinguish between dogs and cars — In this lesson, we will see a neural network in machine learning example where a robot is expected to distinguish between dogs and cars.

Requirements:

Python ‘pillow’ library (can be installed using conda)
Python ‘pandas’ library (can be installed using conda too)
Download the tutorial files and save them in a directory
Run Spyder IDE and open the project

References (for datasets):

“Stanford Dogs dataset for Fine-Grained Visual Categorization,” vision.stanford.edu. http://vision.stanford.edu/aditya86/ImageNetDogs/
Stanford.edu, 2012. http://ai.stanford.edu/~jkrause/cars/car_dataset.html

The code for this project can be accessed at the link below (Lesson 9 code):

https://github.com/madibabaiasl/ML-first-steps-course/

Watch the video version of the 9th lesson: