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    Back to Deep Learning with Keras and Tensorflow

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

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.4
    stars
    935 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. T...
    ...

    Top reviews

    KG

    Feb 4, 2025

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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 3, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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!

    Filter by:

    1 - 25 of 202 Reviews for Deep Learning with Keras and Tensorflow

    Filled StarStarStarStarStar

    By TJ G

    •

    Jan 11, 2020

    This course is incomplete, and is NOT recommended.

    It uses Tensorflow 1, which is outdated now - should be updated to use Tensorflow 2.

    It does not provide practice sessions.

    Week 5 - Autoencoder - have no audio, no captions, nothing.

    There is no final exam to ensure our competence. No labs we need to be graded on.

    This is not a worthy Coursera course. It needs to be withdrawn and updated.

    Filled StarFilled StarFilled StarFilled StarStar

    By Shinhoo K

    •

    Nov 17, 2019

    The codes need to be updated for TensorFlow 2.0.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Dennis L

    •

    Nov 6, 2019

    course needed to be updated for labs. Now Google moved to Tensorflow 2.0 this year.

    Filled StarStarStarStarStar

    By Tony H

    •

    Nov 18, 2019

    Mostly trivial quiz questions and no graded practical work. The certificate is therefore not worth very much.

    Filled StarStarStarStarStar

    By Tristan S

    •

    Jan 9, 2020

    This course is a joke. It's a brief overview of a few types of models. Also there is no sound in half the videos.

    Filled StarFilled StarFilled StarFilled StarStar

    By Martin K

    •

    Nov 22, 2019

    Good content. A bit too fast on some complex concepts and missing audio for the last lecture but great lecturer.

    Filled StarFilled StarFilled StarFilled StarStar

    By John R H A

    •

    Jan 23, 2020

    Teaches more on Deep Learning models but less in TensorFlow

    Filled StarStarStarStarStar

    By Oliver M

    •

    Jan 2, 2020

    Lack of content, quizzes were poor, no sound or transcript on 2 videos. Took about 2 hours total.

    Filled StarFilled StarFilled StarFilled StarStar

    By Reza B

    •

    Feb 21, 2025

    needed more focus on coding and explanation of codes

    Filled StarStarStarStarStar

    By lorenzo a

    •

    Apr 3, 2020

    There are 2 main problems with this course:

    1 All the codes are for tensorflow version 1 and not 2 which essentially makes them outdated since the new version of tensorflow is quite different from the previous

    2 All the explanations are very high level and will leave you with many questions. In short you cna learn as much if not more by watching any youtube videos on each of the topics

    In general, the course seems to have been rushed out and the material is ridiculously slim. There is really no reason to take this course. You'll end up frustrated by the simplistic explanations and the fact that you are learning code which won't be relevant in a couple months.

    Once again I am so surprised to see a reputable company such as IBM put their name on a product which is frankly embarrassingly bad. There is no way this course would be rated 5 starts by any human being which leads me to believe that they manipulate the scores with fake reviews.

    Filled StarStarStarStarStar

    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.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Wei J ( T

    •

    Feb 19, 2020

    I am not sure if no final assessment is a good idea. For the depth of the course it can possibly a major graduation killer but for practical reason you should put that back so people get to be serious with this course.

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Zaheer U R

    •

    Jul 3, 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!

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Mr. P T

    •

    Nov 14, 2020

    It is very good to explain concept of Deep Learning by Example , it is so clear, and better understand

    Filled StarFilled StarFilled StarFilled StarFilled Star

    By Shashi A

    •

    Feb 4, 2020

    It helped me to understand how TensorFlow can be used to build the neural networks

    Filled StarFilled StarFilled StarFilled StarStar

    By K. Y W

    •

    Mar 14, 2020

    A concise and comprehensive survey of deep learning models. Great labs (which sometimes don't run in IBM Skills Network. Thanks to IBM Watson Studio which came to the rescue in those cases). The labs reinforce concepts and illustrate Tensorflow coding to run the models. Lecturer is very clear and encouraging in tone. Thanks for the course.

    Filled StarFilled StarFilled StarFilled StarStar

    By Pietro D

    •

    Jan 5, 2020

    Very clear explanation and well organized course. I give 4 stars because videos of Week 5 are missing the audio and subtitles.

    Filled StarFilled StarFilled StarFilled StarStar

    By Nopthakorn K

    •

    Dec 31, 2019

    Week 5 lecture video no audio

    Lab is not update for tensorflow 2

    Filled StarFilled StarFilled StarFilled StarStar

    By RuoxinLi

    •

    Dec 14, 2019

    some audios are missing

    Filled StarFilled StarFilled StarStarStar

    By Alexey K

    •

    Feb 5, 2023

    Videos are good, but lack of graded coding practice is a big issue with this course. I barely knew how TensorFlow works before starting this course... and this hasn't changed after I finished with 100% grade.

    Filled StarFilled StarFilled StarStarStar

    By Phillip R

    •

    Dec 19, 2019

    needs to be updated for tensorflow 2 and the last videos were missing sound

    Filled StarFilled StarStarStarStar

    By Renan B F

    •

    Dec 8, 2019

    Material from the last 2 weeks aren't comparable to other weeks.

    Filled StarStarStarStarStar

    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.

    Filled StarStarStarStarStar

    By dk

    •

    Nov 26, 2019

    这什么课?即没多少Deep Learning

    的内容,也没多少TENSORFLOW的内容?

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