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

4.4
stars
903 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

KG

Feb 3, 2025

I have seen a lot of people explaining different things in Deep Learning, but I must admit, this course should be given 10 on 10 for covering everything theory to code, basics to advanced.

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!

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151 - 175 of 194 Reviews for Deep Learning with Keras and Tensorflow

By Charles L

Jan 23, 2020

Overall good course but lectures were a bit weak on underlying math, compared to labs which made it a challenging at times to tie the two parts together.

By Gopal I

Apr 14, 2022

One of the better courses in the IBM AI certificate. The notebooks are nicely annotated and have more relevant information than the video lectures.

By Mitchell H

Aug 6, 2020

All the code is TensorFlow1, which is unfortunately completely outdated. Also no assignments or final. But good for the fundamentals of TF.

By Alistair K

Jun 11, 2020

Basic level but well explained, useful notebooks, not much on Tensorflow, more on the theory of the networks. Uses outdated Tensorflow v1

By Alex

May 27, 2020

The course is good but you have to change the codes from TF1 to TF2 since is dificult for the learner tranaslate de codes by himself

By I'm M

Apr 16, 2021

I do not consider the practical part to be exactly beginner level, but the theoretical material is very good.

By Jesus S d J

Jul 12, 2020

Labs would need to be updated to new versions of Tensorflow

The presentations were clear and concise

By jordi p c

Jun 9, 2020

There is a sense to be outdated. Not much activity in the forum, code which is not updated...

By MD S A

Feb 1, 2022

It would be better if the exams are a bit more tough.

The questions are too easy to solve.

By Benhur O J

Jan 30, 2020

Too focus in coding but not in the underlying concepts and how to use the libraries.

By Jochen G

Feb 8, 2020

Interesting view on tensor flow, but gap between labs and videos is quite big.

By Suman k s

May 19, 2020

Low explanation.

But in this short duration we can't expect more.

By Giorgio G

Jun 25, 2020

Course needs to be updated to Tensorflow 2.0 at least.

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.