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Learner Reviews & Feedback for Deep Learning with Keras and Tensorflow by IBM

4.4
stars
871 ratings

About the Course

Deep learning is revolutionizing many fields, including computer vision, natural language processing, and robotics. In addition, Keras, a high-level neural networks API written in Python, has become an essential part of TensorFlow, making deep learning accessible and straightforward. Mastering these techniques will open many opportunities in research and industry. You will learn to create custom layers and models in Keras and integrate Keras with TensorFlow 2.x for enhanced functionality. You will develop advanced convolutional neural networks (CNNs) using Keras. You will also build transformer models for sequential data and time series using TensorFlow with Keras. The course also covers the principles of unsupervised learning in Keras and TensorFlow for model optimization and custom training loops. Finally, you will develop and train deep Q-networks (DQNs) with Keras for reinforcement learning tasks (an overview of Generative Modeling and Reinforcement Learning is provided). You will be able to practice the concepts learned using hands-on labs in each lesson. A culminating final project in the last module will provide you an opportunity to apply your knowledge to build a Classification Model using transfer learning. This course is suitable for all aspiring AI engineers who want to learn TensorFlow and Keras. It requires a working knowledge of Python programming and basic mathematical concepts such as gradients and matrices, as well as fundamentals of Deep Learning using Keras....

Top reviews

ZR

Jul 2, 2020

Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!

DO

May 26, 2020

Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it

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101 - 125 of 182 Reviews for Deep Learning with Keras and Tensorflow

By Alessandro F

Apr 5, 2021

Quite a basic course, you don't get to learn much of tensorflow. This is an introduction to some deep learning models, the content is clear and the course it is well-structured, but it does not go very much in depth.

By Julien P

Jun 18, 2020

Excellent notebooks. I don't give 5 stars because the quality of videos could be improved and the quizzes could be made tougher. It is easy to pass the class with a superficial understanding of concepts.

By RICARDO H R

Jul 25, 2020

Nice course to introduce you to more advanced neural network algorithms, I wish the evaluations were more challenging and based on practical exercises... there is no final assignment either.

By Hrushit J

May 18, 2020

It would have been nice if the video tutorials would explain the code section as well, and if there would have been some in-depth teaching of the code part. But this course did benefit.

By Jesus M G G

Jan 24, 2020

Videos are good, but the code is more complex than other courses and it needs better description of what is happening, or less complicated code

By Ronan C

May 15, 2020

Good an simple videos to understand the concept. The notebooks are very detailed and give a second layer of knowledge with practical example

By CliveEmary

Oct 5, 2022

Videos are good. Lab notebooks are a bit stale (still on tensorflow 2.2), so there are few wrinkles in getting them to work.

By Xiaoer H

Jun 30, 2020

The course concepts are not in-depth enough, and the server for Jupyter notebook running is way too slow...

By Tariq J

Feb 24, 2022

I expected some more explaination for the concepts. However from tensorflow website, more could be learnt.

By Projit C

Apr 1, 2020

The coding part was hard to understand. If that part could also be covered in videos as a tutorial.

By Panos K

Jun 5, 2022

Great introduction to unsupervised learning. However its an easy course with not much to offer

By Sarah H

Jan 10, 2024

challenging but i wish the quiz questions were more useful in testing our understanding.

By Carlos S

Dec 15, 2024

Missing more theory in the course, some labs is not working well. Need review all labs.

By Javier R V

Jul 17, 2020

It would be grate that the examples have been updated to the TF 2.0 version.

By Kaosara B

Aug 5, 2022

i loved it. I have an undertsanding of different deep learning models

By srivikram m

Jun 5, 2022

Was a really fun course, but the final assignments were very lengthy.

By Patricio V

Jun 1, 2020

Good material but almost all the labs are too slow to run properly

By Vishwanathan C

Apr 21, 2020

Good introduction to Deep Learning Models with Tensorflow

By Tim d Z

Mar 24, 2020

Very informative, could use some more room for practice.

By Mahesh N

May 1, 2020

Lab content must be updated with latest TensorFlow.

By Armen M

Mar 25, 2020

Thank you. thought it's could be more deeper

By mpho c

Jan 7, 2020

no audio in the last learning unit 5.

By TIANYU S

May 26, 2020

some questions are a bit confusing

By Bhaskar N S

Apr 4, 2020

Met expectations

By konutek

Feb 2, 2020

It is ok