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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,650

О курсе

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. In Course 2 of the TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models. The Machine Learning course and Deep Learning Specialization from Andrew Ng teach the most important and foundational principles of Machine Learning and Deep Learning. This new TensorFlow Specialization teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization....

Лучшие рецензии


14 мар. 2020 г.

Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..


12 нояб. 2020 г.

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!

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1126–1150 из 1,179 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Tran N M T

5 июля 2020 г.

Really a bad course. Most of the materials can be found online for free on TensorFlow official documentations. Many practices are outdated. Problems with the coding assignment are a nightmare. There is no supervisor to answer many common questions. The code grader checks for very particular things and instructions were not clear at all. In general, this is a pretty bad course.

автор: Ayush M

8 дек. 2020 г.

Course Material not detailed enough and expected more from it. It does not contain enough variety in exercises and lacks a lot of concepts.

Anyone with good learning (and "overfitting") can complete 1 course in a day.

Final assignment lacked a lot of use case description and it did not even tell us anything about the data or recommended parameters for training.

автор: Cristián A P I

8 мар. 2021 г.

There was a lot of repetition with respect to the previous course, making this one feel a bit like filler. The exercises were poorly designed: they used functionality that was not taught during the course, were badly explained and often had weird passing conditions, to the point that I felt I was fighting with the grader instead of trying to improve my code.

автор: Vadim K (

16 янв. 2022 г.

Terrible information flow. Submissions are not connected to any real world knowledge, neither to Machine Learning nor to tensorflow. Information provided assumes that you have some knowledge of ML, so no ML information given, but if you assume so, information about tensorflow is extremely basic and not learning progress not checked properly.

автор: Daniel N

13 авг. 2020 г.

Far to simple. Significant concepts were glossed over and the exercises were mainly copy and past from the examples. Lessons that covered a "week" took < 1 hour with a couple minor points learned. Don't recommend if you want to really know how CNNs work.

автор: Dhruva G

21 авг. 2019 г.

The content could have been covered in 15 min. Moreover, I thought you guys will teach tensorflow low level API and estimators etc. atleast in course 2. Also, what happened to the graded assignments ? I finished this course in 40 min.

автор: Stephen M

4 мая 2020 г.

The course simply does not cover much information. The whole course could be compacted into a decent one hour lecture. Andrew Ng has some great courses on machine learning but I don't believe this to be one of them.

автор: Nils-Jörn

15 июля 2021 г.

I was wasting my time with small coding obstacles for setting up the data (missing hints ?!) instead of getting teached on how to implement models in various ways and how to use regularization for real...

автор: Markus K

3 июня 2022 г.

Again very superficial. Yet, some assignments required tweaks that were never teached (i.e. which optimizer to use when, when to use "sparse_categorical_crossentropy", etc.), which was frustrating.

автор: Kalana I

5 июня 2021 г.

The course material is good and the lectures are great but rating it low to bring attention to the assignments which were old and incomplete. They really need to be updated. Specially week 4.

автор: Klemen V

7 янв. 2021 г.

In my opinion there is to little background explanation. There were errors in Programming Assignment

in week 3 and 4. I had to look in forum discussion so I could complete the exercise

автор: Dmitry T

28 дек. 2020 г.

weeks from 1-3 were perfect.

But the programming assignment on week 4 needs to be fixed. Please add hints and examples, otherwise it is just a headache

автор: Jose R

26 июля 2020 г.

No enough time spend in the actual code which limits the learning on the understanding of the concepts with implementation. Doubt how useful this is

автор: Muhammad R R M

12 апр. 2021 г.

Last exercise is so bad. It didn't even discuss about flow function, why it's need 26 last layer? isn't it should be only 3?

автор: Dmitriy S

12 нояб. 2020 г.

Absolutely awful grader. You spend most of the time figuring out errors and intentions of the grader writer.

автор: Matthew R

17 дек. 2020 г.

Very superficial look at deep learning. A lot of the programming assignments had little to no context.

автор: Francisco R G

29 сент. 2020 г.

Repetitive chapters, repetitive info on videos, and not very useful final test. They have to review it.

автор: Jin C

27 сент. 2019 г.

It's too easy for an intermediate machine learning leaner, and it's little about naive TensorFlow.

автор: Roger G A

11 окт. 2020 г.

Specially in week 4, big gap between information taught in the lecture, and the last assignment.

автор: pouya k

9 февр. 2021 г.

poorly designed exercises

poorly designed material that all could be said in just 1 or 2 weeks

автор: Wingyuen P

23 сент. 2021 г.

Some notable omissions of key information in instruction, but mostly the exercises suck

автор: Jair N

5 апр. 2021 г.

The content are good, but the audio is low and the exercises are not well documented.

автор: Adith k

1 июня 2021 г.

very basic.

There's hardly any video time. We can finish the whole course in a day

автор: Seyyed M A D

31 авг. 2021 г.

HWs are not well and thoroughly-thought designed (Grader runs out of memory ).

автор: Apoorv V

1 авг. 2020 г.

Average content. The last assignment for week 4 was structured quite poorly.