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Volver a Introduction to Deep Learning & Neural Networks with Keras

Opiniones y comentarios de aprendices correspondientes a Introduction to Deep Learning & Neural Networks with Keras por parte de Habilidades en redes de IBM

1,100 calificaciones

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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. 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....

Principales reseñas


30 de jun. de 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.


15 de mar. de 2020

Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.

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176 - 200 de 225 revisiones para Introduction to Deep Learning & Neural Networks with Keras

por Xiaoer H

30 de jun. de 2020

The course contents are not in-depth enough. The server for Jupyter notebook running is way too slow. Besides, the peer review homework is not that good, because some people didn't read through the questions carefully enough, and they misunderstood the questions themselves and could not give fair enough grades to peers. If the final assignment can be made to auto-grading one, it would be much better (we can set the same random seed)

por lonnie

15 de jun. de 2021

I​ have experience of Deep Learning, so I am able to walk through this Lession quickly. The main focus is on Capstone Project, and I have learned something on it. To be honest, this lession is very elementary. I suggest to introduce more Deep Learning models and approachs in this lesson.

por Sander v d O

14 de mar. de 2020

This is a great course. The lectures are boiled down to the essence of neural networks using Keras. I give four stars instead of five stars, because the IBM labs environment that the course uses was quite slow and buggy, so I ended up doing the exercises in Google Colab.

por Adriano S

23 de oct. de 2020

The Course is basic but interesting. I missed an exercise on backpropagation with the same explanatory level that it had for forward propagation. The last activity needs to be reviewed because it is confusing.

por Deleted A

1 de jun. de 2022

Nice overview. The coding exercises could be deeper, and in the second half of the course lose any depth at all. Understandable for such a short course, but still felt like a missed opportunity.

por Aaqib W S

20 de mar. de 2020

A good course. Could be better if it was explained how to select the optimal number of layers and nodes. This was not covered and explained anywhere. Overall it was good.

por Rohit S

21 de feb. de 2020

I took this course for understanding the TensorFlow properly. Now I am in the situation to understand all the frameworks. Thanks a lot for providing me this free course

por Benhur O

10 de oct. de 2019

Good practical examples for ANN. It could be improved the theoretical part and compare better the architecture of the networks with the algorithms and code for Keras

por Mohamed A A

23 de jun. de 2020

A good introductory course, well suited for beginners looking for general information about neural networks and deep learning, with good practice exercises.

por Lete N

10 de sep. de 2020

Good intro to the subject. The instructor could have done examples using other neural networks like RNN and autoencoders. It was a fantastic intro

por Rashmin D

14 de may. de 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.

por Utkarsh

25 de abr. de 2020

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

por Julius M

6 de jul. de 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

por PaluMalu

6 de ene. de 2021

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

por Emanuel N

2 de feb. de 2021

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

por Jay P

5 de oct. de 2019

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

por mallesh v s

7 de oct. de 2019

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

por Nehal B

3 de may. de 2022

It provides g​ood basic understing of deep learning using Keras!

por Vishwanathan C

13 de abr. de 2020

Very nice and concise introduction to Keras and Deep Learning.

por Vijander S

5 de abr. de 2020

some interdisciplinary data set examples should be included

por Sarah T

27 de sep. de 2020

A course which gives basic understanding of concepts.

por J K

26 de abr. de 2020

excellent course and but need some advanced content

por TJ G

11 de ene. de 2020

Great starter. Could do with more practice labs.

por Udaykumar A

9 de may. de 2021

Good course which provides practical exposure


5 de mar. de 2021

Not too bad a course and the pace was right.