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Back to Introduction to Deep Learning & Neural Networks with Keras

Learner Reviews & Feedback for Introduction to Deep Learning & Neural Networks with Keras by IBM

4.7
stars
2,010 ratings

About the Course

This course introduces deep learning and neural networks with the Keras library. In this course, you鈥檒l be equipped with foundational knowledge and practical skills to build and evaluate deep learning models. You鈥檒l begin this course by gaining foundational knowledge of neural networks, including forward and backpropagation, gradient descent, and activation functions. You will explore the challenges of deep network training, such as the vanishing gradient problem, and learn how to overcome them using techniques like careful activation function selection. The hands-on labs in this course allow you to build regression and classification models, dive into advanced architectures, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and autoencoders, and utilize pretrained models for enhanced performance. The course culminates in a final project where you鈥檒l apply what you鈥檝e learned to create a model that classifies images and generates captions. By the end of the course, you鈥檒l be able to design, implement, and evaluate a variety of deep learning models and be prepared to take your next steps in the field of machine learning....

Top reviews

SS

Jun 30, 2020

Such a wonderful and high tech course in the world and it is provided by ibm and coursera.Thank you ibm and coursera for such a opportunity.I'm glad and proud to be a part of this organization.

FF

Jul 16, 2025

El curso explica de una manera sencilla los tipos de redes neuronales, para que sirve cada uno y pone ejemplos de como funcionan en la vida real. Sienta las bases para los cursos m谩s avanzados.

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376 - 382 of 382 Reviews for Introduction to Deep Learning & Neural Networks with Keras

By aman p

鈥�

Dec 16, 2024

bad

By Alejandro S B E

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Jul 3, 2025

Optional 10-15 mins lectures with more deep explanations and usage cases would be such an improvement.

By Ida M

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Apr 3, 2025

There is not enough explanation and tutorial on harder material(as the course progressed).

By Kai Y

鈥�

Oct 27, 2024

not show conflict between keras jupyter and mac m2

By MOHAMED A M E

鈥�

Oct 3, 2025

subpar, spending all the this time finishing the certificate to have it say the non-credit cert, defeating the point

By abo o

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Nov 10, 2024

chaos

By Nimra M

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Jul 18, 2025

Good