ConvNets: Introduction to Convolutional Neural Networks

Neural Networks
  • 10 Videos | 1h 4m 35s
  • Includes Assessment
  • Earns a Badge
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Explore convolutional neural networks, their different types, and prominent use cases for machine learning, in this 10-video course. Learners will study the different layers and parameters of convolutional neural networks and their roles in implementing and addressing image recognition and classification problems. Key concepts covered in this course include the working mechanisms of convolutional neural networks, and the different types of convolutional neural networks that we can implement; and problems associated with computer vision, along with the prominent techniques to manage them.  Next, you will learn about the role of neural networks and convolutional neural networks in implementing and addressing image recognition and classification problems; observe the prominent layers and parameters of convolutional neural networks for image classification; and learn to see the convolutional layer from a mathematical perspective, while recognizing the mathematical elements that enter into the convolution operations. Finally, learners will be shown how to build a convolutional neural network for image classification by using Python.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    define the concept of convolution neural networks and recognize the prominent uses cases of convolutional neural networks
    describe the working mechanism of convolutional neural networks
    recognize the different types of convolutional neural networks that we can implement
    describe the problems associated with computer vision along with the prominent techniques to manage them
  • identify the role of neural networks and convolutional neural networks in implementing and addressing image recognition and classification problems
    recognize the prominent layers and parameters of convolutional neural networks for image classification
    describe convolutional layer from mathematical perspective and recognize the mathematical elements that enter into the convolution operations
    build a convolutional neural network for image classification using Python
    recall the prominent use cases of convolutional neural networks, list the different types of convolutional neural networks, and build a simple convolutional neural network for image classification

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m
    UP NEXT
  • Playable
    2. 
    Convolutional Neural Network Use Cases
    9m 32s
  • Locked
    3. 
    How Convolutional Neural Network Works
    8m 8s
  • Locked
    4. 
    Types of Convolutional Neural Network
    7m 30s
  • Locked
    5. 
    Computer Vision Problems and Techniques
    3m 42s
  • Locked
    6. 
    Image Recognition and Classification
    7m 14s
  • Locked
    7. 
    Layers and Parameters of ConvNets
    4m 29s
  • Locked
    8. 
    Maths for Convolutional Neural Network
    3m 7s
  • Locked
    9. 
    Building CNN Image Classification Model
    9m 38s
  • Locked
    10. 
    Exercise: Working with Convolutional Neural Networks
    6m 15s

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