- We went through a lot in this chapter. You can use the framework provided to investigate the properties of neural networks. Try several activation functions, or different settings for convolutions to see what changes in the training process.
- Draw a diagram of an artificial neuron and label the parts. Look up a natural, human biological neuron, and compare.
- What features of a real neuron and an artificial neuron are the same?
- What are different?
- What relationship does the first layer of a neural network have to the input?
- What relationship does the last layer of a neural network have to the output?
- Look up three kinds of loss functions and describe how they work. Include mean square loss and the two kinds of cross entropy loss.
- What would you change if your network trained to 40% and got "stuck", or was unable to learn anything further?
Artificial Intelligence for Robotics
By :
Artificial Intelligence for Robotics
By:
Overview of this book
Artificial Intelligence for Robotics starts with an introduction to Robot Operating Systems (ROS), Python, robotic fundamentals, and the software and tools that are required to start out with robotics. You will learn robotics concepts that will be useful for making decisions, along with basic navigation skills.
As you make your way through the chapters, you will learn about object recognition and genetic algorithms, which will teach your robot to identify and pick up an irregular object. With plenty of use cases throughout, you will explore natural language processing (NLP) and machine learning techniques to further enhance your robot. In the concluding chapters, you will learn about path planning and goal-oriented programming, which will help your robot prioritize tasks.
By the end of this book, you will have learned to give your robot an artificial personality using simulated intelligence.
Related Content you might be interested in
Current Title:
Artificial Intelligence for Robotics
Table of Contents (13 chapters)
Preface
Free Chapter
Foundation for Advanced Robotics and AI
Setting Up Your Robot
A Concept for a Practical Robot Design Process
Object Recognition Using Neural Networks and Supervised Learning
Picking up the Toys
Teaching a Robot to Listen
Avoiding the Stairs
Putting Things Away
Giving the Robot an Artificial Personality
Conclusions and Reflections
Assessments
Other Books You May Enjoy
Customer Reviews