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

4.7
stars
1,662 ratings

About the Course

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....

Top reviews

MP

Jun 30, 2022

Excellent introduction to the mechanics of Neural Networks in general, and the Keras application specifically. Alec is an outstanding teacher, I always appreciate his knowledge and enthusiasm.

YF

Jul 11, 2024

The video and Jupyter notebooks were both concise and of excellent quality. However, the versions of dependent libraries are somewhat outdated, which makes it quite challenging to run locally.

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276 - 300 of 321 Reviews for Introduction to Deep Learning & Neural Networks with Keras

By Rashmin D

May 14, 2020

It is a good insight for someone to know and understand Deep learning. And exams and projects make sure students learn and practice new concepts.

By Utkarsh

Apr 25, 2020

In-depth concept-analysis is required. Good for people who know the theory and want to learn and revise its implementation in Python.

By Julius M

Jul 6, 2020

This course gives intro to the beginner who start learning the concept of deep learning.... It a good and content are good as well

By Jaeoh S

Mar 1, 2023

A nice very short introduction to Deep learning.

The contents itself is very limited but give the learner some taste of DL.

By PaluMalu

Jan 6, 2021

Very good. I found this course very usefull to start learning more deeping in this technology. For sure I'll recomend it!

By Adem (

Sep 6, 2023

The course design is good, but it would be better if the lab sessions were riched and included one higher level.

By Xavier R

Sep 1, 2022

Clear and direct introduction to building neural networks, highly recommend for getting the basics fast.

By Selçuk Ş

Jul 30, 2023

The lessons and exercises could be deeper. But still a valuable course about deep learning with keras.

By Emanuel N

Feb 2, 2021

Muy basico, pero contenido estuve bien, los temas fueron bien explicados

By Jay P

Oct 5, 2019

Excellent course that is very well done. Final project was super hard.

By mallesh v s

Oct 7, 2019

Very Good Course to begin, explanations are clear on most of topics

By Nehal B

May 3, 2022

It provides good basic understing of deep learning using Keras!

By Vishwanathan C

Apr 13, 2020

Very nice and concise introduction to Keras and Deep Learning.

By Vijander S

Apr 5, 2020

some interdisciplinary data set examples should be included

By Sarah T

Sep 27, 2020

A course which gives basic understanding of concepts.

By Jagadeesh K

Apr 26, 2020

excellent course and but need some advanced content

By Jose D R M

May 19, 2024

Interesante curso aunque quizás demasiado básico.

By TJ G

Jan 11, 2020

Great starter. Could do with more practice labs.

By Udaykumar A

May 9, 2021

Good course which provides practical exposure

By Vincent H

Mar 5, 2021

Not too bad a course and the pace was right.

By Medet M

Jul 30, 2020

Seems very easy course. Good for beginners.

By Peter N P B

Feb 7, 2020

a bit easy but well put together material

By UNMILON P

Jun 6, 2020

Basic course but best to start for Keras

By Syed T A S

Feb 26, 2024

Great course to kick off as ML Engineer

By Cristina A G

Feb 20, 2020

Clear, easy to follow