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學生對 IBM 提供的 Introduction to Deep Learning & Neural Networks with Keras 的評價和反饋

798 個評分
161 條評論


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....



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


Good course. It is a very direct approach. It is a basic introduction to keras. Doing the labs is recommended, and also previous knowledge about machine learning is encouraged.


151 - Introduction to Deep Learning & Neural Networks with Keras 的 160 個評論(共 160 個)

創建者 Somak C


The topic explanations are pretty rushed for beginners. The assignment has been unnecessarily added with lots of iterations that created issues with debugging and testing.

創建者 Jorge R C R


Good introductory course, just scratches the surface. What I did not like is that the instructor just reads the content for you. Could be improved.

創建者 Simone P


It seems more a review of concepts that you need to have already have studied on other courses/books than a real introduction.

創建者 Suresh C


These course is just for Introduction in Neural Network and Keras



The course is OK in the overall. But it has two main drawbacks from my point of view:

1) The final assignments asks for solving the task making use of routines NOT shown along the course: i.e. it's shown in the labs to solve issues in a way, and in the assignment it has to be done in a different one.

2) It was IMPOSSIBLE for me to get feedback from the Staff at any question. I ended up solving the issues by my own and through try and error, which is fine from a self-study approach, but when it comes to technical issues, it can get quite complicated...

創建者 Bhrigu C


The course does not cover using following concepts with keras - Dropouts, maxpooling, CNN, RNN, padding.

They have been covered in the pytorch course using PyTorch, which is entirely different from how we would use with Keras. It makes this course highly incomplete in terms of examples and assessments and I don't think I have learnt much here. There are way better free courses on youtube by regular data scientists (not from IBM) that include detailed concepts and examples on these left-out important content.

創建者 Serge F


The title is not right. It is more a general presentation of deep learning then a présentation with KERAS.

創建者 Xing L


Too basic and simple, especially for the different popular models. Not as good as I expected.

創建者 Jbene M


Very Basic

創建者 Julio T