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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

794 個評分
160 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.


126 - Introduction to Deep Learning & Neural Networks with Keras 的 150 個評論(共 159 個)

創建者 Benhur O J


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

創建者 Mohamed A A


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

創建者 Lete N


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

創建者 Rashmin D


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.

創建者 Utkarsh


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

創建者 Julius M


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

創建者 PaluMalu


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

創建者 Jay P


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

創建者 mallesh v s


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

創建者 Vishwanathan C


Very nice and concise introduction to Keras and Deep Learning.

創建者 Vijander S


some interdisciplinary data set examples should be included

創建者 Sarah T


A course which gives basic understanding of concepts.

創建者 jagadeesh k


excellent course and but need some advanced content

創建者 TJ G


Great starter. Could do with more practice labs.

創建者 Medet M


Seems very easy course. Good for beginners.

創建者 Peter N P B


a bit easy but well put together material



Basic course but best to start for Keras

創建者 Cristina A G


Clear, easy to follow

創建者 Sarath C G K


Good Assignments,

創建者 Suman k s



創建者 Hamza A I


The course content is very brief not much for getting a better understanding of topics. It can be a good starting course for someone but if you are interested in getting details of topics I recommend taking the courses of

創建者 Tony D


Very light. The current material requires much less time to finish than annoucned at the beginning of the course. The teacher could have hence taken some time to go more into details, even though it's an introduction course

創建者 Rogier W


Course is too easy... And some guy copied my work for the final assignment after he reviewed it. IMO it should not be possible to review someone else's work, when you haven't passed the course yourself yet.

創建者 Pietro D


The course was very elementary and brief but well organized. Week 4 (supervised and unsupervised models) is definitely too short to grasp the ideas behind the different designs.

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.