Buen curso para inicializarte en el Deep Learning con Keras, si ya tienes conocimientos previos sobre el tema, quizás sea demasiado básico, aunque siempre está bien reforzar algunos conceptos. Algo que debes tener claro es que hay que tener conocimiento previo de Python para poder entender los diversos códigos que se ven durante el curso.

Amazing course, specially because of the historical background provided on neurons which I thought was very interesting and it also provides a strong foundation on how a single artificial neuron works which made learning how they interact together in a neuronal network much easier!

It was a excellent course for beginner who don't have any knowledge about deep learning. I am very impressed and got some knowledge about deep learning. The way he taught the lesson was excellent. Theory as well as practical session was very informative and easily understandable.

A very nice way to get introduced to amazing field of Deep Learning and get your hands dirty with Keras library.Although this is not a very in-depth course but a nice place to start.Alex Sir has been really brilliant with his short ,simple and easy to understand explanations.

The instructor makes the fundamental concepts easy to understand while giving you a variety of python techniques to test and evaluate neural networks. My python skills are ok, but definitely not brilliant, and I was able to work through this. It was also highly enjoyable.

Excellent leaning material! Very interesting lectures and exercises and project!

Really nice presentation styles and very nice lab functioning with no glitch whatsoever. Really rapid responses from course teachers. I am really taking this coursera IBM specialisation!

This course is truly one of a kind. Am a matured student planning to go back to study. Trying to navigate and prepare myself for the academic world. This course gave me the necessary tools and insights on what is needed to search. Highly recommend!

Best course ,

It was a good course with beginner level understanding of deep learning and neural network. The quiz are related to course material and project is a good practice of understanding how parameter tuning works in model training. Overall an awesome course. Thank you.

Very straightforward course!

If you are new to deep learning, this cause is absolutely suitable for you to understand all the fundamental knowledges you need. Of course, you should understand most of the concepts in ML before taking this course.

Amazing course with amazing content.

This course helps me understanding the foundations of Neural Network & Convolutional Neural Networks.

If anyone waana learn the basics of Deep Learning & Neural Networks then this course is better for them.

It is a very interesting and useful course. Forward propagation, gradient descent, backward propagation, disappearing gradient problem, (+ Regression, Classification and CNN with Keras) is clearly explained. Highly recommended.

Very interesting introductory course, it gave me a strong foundation of DeepLearning. I also enjoyed how the instructor presents course material, and I really learned a lot from labs and the final project. Thanks a lot...

I learned a lot with this course and enjoyed the lessons and labs. The course is very well organised and easy to follow. It is just nice for me for I am just a beginner in Python and in Data handling. Thank you IBM.

I really enjoy it by a practical point of view. Probably a little hard for who has never seen neural network and python. I was interested in Keras without all the AI specialization and I really appreciate it.

The course is organized in a clear way. Together with the practice, I feel more confident to write my own codes with keras. I believe it is a good start for more advanced deep learning models with keras.

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.

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.

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.

Was a great course which gave a good understanding of deep learning and the labs were very useful in getting to understand the subject and using Keras from a practical point of view.

Very Clear and Precise knowledge which started from the grass-root level to help newbies come up to the level of understanding deep learning models and algorithms.

Thumbs up!!

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.

Best suited for beginner in Deep learning with Keras. Good content, hands on experience with Jupiter notebook with IBM Developer tool. Worked Exercise code for CNN & RNN.

Excellent course. The instructor was clearly passaionate about the topics covered and very knowledeable. A well designed course that was easy to understand and follow.

It is a really good course.

The labs could have had more for us to do, much of the labs was already implemented.

Still, great introduction to the proposed subjects.

I had some information about the subject, but the content on the course was very good in terms of filling some voids in my knowledge Thanks for the great content