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Introduction to Deep Learning & Neural Networks with Keras
  • Level Professional
  • Duration 8 hours
  • Course by IBM
  • Offered by

About

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library. After completing this course, learners will be able to: • Describe what a neural network is, what a deep learning model is, and the difference between them. • Demonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines. • Demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. • Build deep learning models and networks using the Keras library.

Modules

Syllabus

    • 1 Readings
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1 Readings

  • Syllabus

Welcome

    • 1 Videos
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1 Videos

  • Welcome

Introduction to Deep Learning

    • 1 Videos
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1 Videos

  • Introduction to Deep Learning

Neural Networks - Making Predictions

    • 2 Videos
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2 Videos

  • Neurons and Neural Networks
  • Artificial Neural Networks

Lab and Quiz

    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Introduction to Neural Networks and Deep Learning

1 External Tool

  • Artificial Neural Networks

Training a Neural Network

    • 4 Videos
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4 Videos

  • Gradient Descent
  • Backpropagation
  • Vanishing Gradient
  • Activation Functions

Quiz

    • 1 Assignment
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1 Assignment

  • Artificial Neural Networks

Deep Learning Libraries

    • 1 Videos
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1 Videos

  • Deep Learning Libraries

Regression with Keras

    • 1 Videos
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1 Videos

  • Regression Models with Keras

Classification with Keras

    • 1 Videos
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1 Videos

  • Classification Models with Keras

Labs and Quiz

    • 2 ExternalTool
    • 1 Assignment
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1 Assignment

  • Keras and Deep Learning Libraries

2 External Tool

  • Regression with Keras
  • Classification with Keras

Shallow Versus Deep Neural Networks

    • 1 Videos
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1 Videos

  • Shallow Versus Deep Neural Networks

Supervised Learning Models

    • 2 Videos
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2 Videos

  • Convolutional Neural Networks
  • Recurrent Neural Networks

Unsupervised Learning Models

    • 1 Videos
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1 Videos

  • Autoencoders

Lab and Quiz

    • 1 ExternalTool
    • 1 Assignment
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1 Assignment

  • Deep Learning Models

1 External Tool

  • Convolutional Neural Networks with Keras

Build a Deep Learning Model

    • 1 PeerReview
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1 Peer Review

  • Build a Regression Model in Keras

Summary

    • 1 Videos
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1 Videos

  • Summary

Auto Summary

Embark on your journey into the world of Deep Learning with "Introduction to Deep Learning & Neural Networks with Keras," a comprehensive course designed for aspiring data scientists and AI enthusiasts. Guided by expert instructors from Coursera, this professional-level course delves into the core concepts of deep learning, distinguishing it from traditional artificial neural networks. Learners will gain a robust understanding of both unsupervised models like autoencoders and restricted Boltzmann machines, as well as supervised models such as convolutional and recurrent neural networks. The course emphasizes hands-on experience, enabling participants to build and implement their own deep learning models using the powerful Keras library. Spanning 480 minutes of insightful content, the course offers flexible subscription options including Starter and Professional plans, catering to a wide range of learners. Whether you're looking to kickstart a career in AI or deepen your knowledge in data science, this course provides the essential tools and knowledge to excel in the rapidly evolving field of deep learning.

Alex Aklson
Instructor

Alex Aklson