ConvNets: Introduction to Convolutional Neural Networks

Neural Networks    |    Beginner
  • 10 videos | 1h 35s
  • Includes Assessment
  • Earns a Badge
Rating 3.3 of 9 users Rating 3.3 of 9 users (9)
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

  • 1m
  • 9m 32s
    In this video, you will define the concept of convolutional neural networks and recognize the prominent uses cases of convolutional neural networks. FREE ACCESS
  • Locked
    3.  How Convolutional Neural Network Works
    8m 8s
    Upon completion of this video, you will be able to describe the working mechanism of convolutional neural networks. FREE ACCESS
  • Locked
    4.  Types of Convolutional Neural Network
    7m 30s
    Upon completion of this video, you will be able to recognize the different types of convolutional neural networks. FREE ACCESS
  • Locked
    5.  Computer Vision Problems and Techniques
    3m 42s
    Upon completion of this video, you will be able to describe the problems associated with computer vision along with the prominent techniques to manage them. FREE ACCESS
  • Locked
    6.  Image Recognition and Classification
    7m 14s
    During this video, you will learn how to identify the role of neural networks and convolutional neural networks in implementing and addressing image recognition and classification problems. FREE ACCESS
  • Locked
    7.  Layers and Parameters of ConvNets
    4m 29s
    After completing this video, you will be able to recognize the prominent layers and parameters of convolutional neural networks. FREE ACCESS
  • Locked
    8.  Maths for Convolutional Neural Network
    3m 7s
    After completing this video, you will be able to describe a convolutional layer from a mathematical perspective and recognize the mathematical elements that enter into the convolution operations. FREE ACCESS
  • Locked
    9.  Building CNN Image Classification Model
    9m 38s
    In this video, you will build a convolutional neural network for image classification using Python. FREE ACCESS
  • Locked
    10.  Exercise: Working with Convolutional Neural Networks
    6m 15s
    After completing this video, you will be able to 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. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course Convolutional Neural Networks: Implementing & Training
Rating 4.0 of 6 users Rating 4.0 of 6 users (6)
Course Deep Learning for NLP: Neural Network Architectures
Rating 4.2 of 12 users Rating 4.2 of 12 users (12)
Journey Neural Networks with PyTorch
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Course Python - Manipulating & Analyzing Data in Pandas DataFrames
Rating 4.5 of 400 users Rating 4.5 of 400 users (400)
Course Cloud Computing and MLOps: ML Pipelines
Rating 4.3 of 30 users Rating 4.3 of 30 users (30)
Course Data Lakes on AWS
Rating 4.6 of 34 users Rating 4.6 of 34 users (34)