IBM
Introduction to Deep Learning & Neural Networks with Keras
IBM

Introduction to Deep Learning & Neural Networks with Keras

This course is part of IBM AI Engineering Professional Certificate

Taught in English

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Alex Aklson

Instructor: Alex Aklson

53,320 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(1,506 reviews)

|

94%

Intermediate level
Some related experience required
8 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(1,506 reviews)

|

94%

Intermediate level
Some related experience required
8 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your Machine Learning expertise

This course is part of the IBM AI Engineering Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from IBM
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There are 5 modules in this course

In this module, you will learn about exciting applications of deep learning and why now is the perfect time to learn deep learning. You will also learn about neural networks and how most of the deep learning algorithms are inspired by the way our brain functions and the neurons process data. Finally, you will learn about how neural networks feed data forward through the network.

What's included

4 videos1 reading1 quiz1 app item

In this module, you will learn about the gradient descent algorithm and how variables are optimized with respect to a defined function. You will also learn about backpropagation and how neural networks learn and update their weights and biases. Futhermore, you will learn about the vanishing gradient problem. Finally, you will learn about activation functions.

What's included

4 videos1 quiz

In this module, you will learn about the diifferent deep learning libraries namely, Keras, PyTorch, and TensorFlow. You will also learn how to build regression and classification models using the Keras library.

What's included

3 videos1 quiz2 app items

In this module, you will learn about the difference between the shallow and deep neural networks. You will also learn about convolutional networks and how to build them using the Keras library. Finally, you will also learn about recurrent neural networks and autoencoders.

What's included

4 videos1 quiz1 app item

In this module, you will conclude the course by working on a final assignment where you will use the Keras library to build a regression model and experiment with the depth and the width of the model.

What's included

1 video1 peer review

Instructor

Instructor ratings
4.7 (299 ratings)
Alex Aklson
IBM
22 Courses1,066,390 learners

Offered by

IBM

Recommended if you're interested in Machine Learning

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