Artificial Intelligence with Python – Deep Neural Networks
80 minutes of course content
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Course Description
Learn different Artificial Intelligence learning techniques with neural networks
About This Video
- Learn the fundamentals of Deep Learning and use them to build intelligent systems
- Solve real-world problems such as face detection, handwriting recognition, and more
- Work with reinforcement learning, convolutional networks, and other deep learning concepts
In Detail
The course is an introduction to the basics of deep learning methods. We will start with object detection and tracking, in which we will track faces, objects and eyes. We will then build a neural network and an OCR. We will then learn how to build learning agents that can learn from interacting with the environment. We will use Deep Learning with Convolutional Neural Networks, and use TensorFlow to build neural networks. We will then build an image classifier using convolutional neural networks.
After taking this course, you will be able to:
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Build applications based on deep learning algorithms
- Learn how reinforcement learning works
- Detect and track objects using different algorithms
This course is for professionals within the following business functions:
- Everyone is welcome in this course.
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Object Detection and Tracking - 28 Minutes
- The Course Overview
- Installing OpenCV
- Frame Differencing
- Tracking Objects Using Colorspaces
- Object Tracking Using Background Subtraction
- Building an Object Tracker Using the CAMShift Algorithm
- Optical Flow Based Tracking
- Face Detection and Tracking
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Artificial Neural Networks - 22 Minutes
- Introduction to Artificial Neural Networks
- Building a Perceptron Based Classifier
- Constructing Single and Multilayer Neural Networks
- Building a Vector Quantizer
- Analyzing Sequential Data Using Recurrent Neural Networks
- Visualizing Characters in an Optical Character Recognition Database
- Building an Optical Character Recognition Engine
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Reinforcement Learning - 11 Minutes
- What Is Reinforcement Learning?
- Creating an Environment
- Building a Learning Agent
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Deep Learning with Convolutional Neural Networks - 19 Minutes
- What are Convolutional Neural Networks?
- Building a Perceptron-Based Linear Regressor
- Building an Image Classifier Using a Single Layer Neural Network
- Building an Image Classifier Using a Convolutional Neural Network
About the Expert

Packt