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Introduction to Deep Learning & Neural Networks with Keras

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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.Upon course completion, learners will gain the capacity to describe neural networks and deep learning models, as well as discern the distinctions between them.

4.7 (22k+ Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Information Technology

Enrollment Count

  • 844.99K

Skills You Will Learn

  • Artificial Intelligence (AI), Artificial Neural Network, Deep Learning, Keras, Machine Learning

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 8 hours

Platform

  • Coursera

Last Update

  • March 17, 2026
About this Course

Course Syllabus


Module 1

  • Introduction to Neural Networks and Deep Learning
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.

Module 2

  • Artificial Neural Networks

    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.

Module 3

  • Keras and Deep Learning Libraries

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


Module 4

  • Deep Learning Models

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.

Course Project

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.