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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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151 - 175 of 182 Reviews for Deep Learning with Keras and Tensorflow

By Sanjeev G

May 10, 2022

we should have more videos and theory also..

By Chris R

Aug 15, 2022

Material excellent, cramed though.

By Kabila H

May 17, 2020

The tensorflow version is outdated

By Rafi O

Jul 12, 2020

Outdated and not in depth enough.

By Emanuel N

Feb 23, 2021

Falto mas teoria

By Bernardo A

Aug 26, 2020

No real dataset

By ABOUJAAFAR O

Jun 2, 2020

no applications

By Juho H

May 12, 2020

Disappointing stuff. The videos teach complex stuff like recurrent neural networks (RNNs like LTSM), restricted Boltzmann machines, and autoencoders very quickly - less than 10 minutes per "week" of learning. While the labs are extensive, you don't learn anything as the amount of TensorFlow code is totally intimidating and none of the steps are really explained. You can copy the code, but you won't develop an understanding of it in this course. Not to mention the code is so heavy the Skills Lab times out before the network is trained. Still, if you just want to claim you've done Tensorflow, you can click through the stuff in about 30 minutes per "week" of learning.

By Junsoo P

Sep 22, 2020

The lectures only cover various neural nets and not how to actually implement them on Tensorflow, which should be the gist of the course. Further, the labs are at many places not compatible with the most recent Tensorflow version 2's, and only work for previous Tensorflow version 1's which are quite different. The labs must be re-written for the newest versions given Tensorflow's backward incompatibility.

By Dean E B

Apr 26, 2022

Weakest of the IBM series I took. Problems with labs working. No response from questions on forums. A very shallow presentation of fairly deep subject matter. Very little background or use of TensorFlow.

By Stefan L

Jul 4, 2020

This course was very informative and the labs are really well written.... however the code is SEVERELY out of date. It needs to be updated for TensorFlow 2.0, there is simply no excuse at this point

By Farrukh N A

Jan 13, 2020

First of all it was too complex, unlike the course on PyTorch which focused on both Theory + Practical part. It focus only on theory.

By Pakawat N

May 31, 2020

It is too basic and almost no technical detail about the DNN. It is not good for who have basic knowledge about this before.

By abhinav8383

Apr 3, 2024

give us some assignments please, explained the same concepts multiple times, make us earn a grade not just give it!

By Sowmyashree S

May 2, 2020

The codes should be provided with Tensorflow 2.0. Practical implementation should also be shown.

By César A C

Jun 29, 2020

I think that the labs should have been updated to tensorflow 2.

By Adrian C B

Feb 2, 2024

In my opinion, it doesn't help to learn the Tensorflow module.

By Eric B

Jan 30, 2020

Way too short in terms of the amount of content

By Julian S

Jun 21, 2020

The Material needs to be updated!

By Amit T

Jan 11, 2024

Labs do not work!

By Krzysztof R

Feb 4, 2024

Learning content was good, but making assignments was a nigthmare, I could not set up an IBM Cloud account, becasue they could not verify my payment card, when i asked them to help me, they just responded "We have reviewed your account/transaction and will not be able to offer services. No further information will be disclosed regarding this matter. Any card authorizations will reverse within 24-72 hours depending on the issuing bank.". They ghosted me completely and did not want to help. I do not recommend. It's no wonder that with this kind of customer attitude IBM is far behind the competition today.

By Frank R

Dec 18, 2024

The syllabus of this specialization is supposed to be rich; nevertheless, the lectures are not good at all. They mostly read the codes without diving into a proper explanation. The theory background is poor, and the labs don't teach you how to deal with real datasets, just random numbers, nor do they teach you how to implement an entire pipeline of code, just chunks of it without any scope (It seems to me). What could you supposedly expect from modules with lectures of 3 min - 8 min (tops)? I don't recommend this course if you don't have a strong NN background.

By Ustinov A

Aug 6, 2020

Good videos and bad labs. An old TensorFlow version is used. Therefore all code is useless for the current version of TensorFlow (ver. 2). It had to become the most important part of the specialization for me... There are a lot of topics about problems on the forum. And it's strange that IBM can't change it for a half year.

By Onno v E

Aug 24, 2020

This course is very outdated, it needs to be updated to Tensor Flow 2.0.

There are NO EXERCISES at all, only labs that contain the some content as the video's. I don't think I really learned much during this course, as the course does not dive deep into the models selected for the course.

By Mücahit a

Apr 25, 2024

does not give a certificate and is never interested in this situation, everyone complains about this situation, but they do not give us a satisfactory answer, almost 1 month has passed, but there is still nothing worthwhile, the return is not good, do not take this course in vain.