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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,155
Рецензии: 1,114

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

11 сент. 2019 г.

great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.

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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1101–1114 из 1,114 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Aladdin P

4 авг. 2020 г.

On the first course I gave more detailed feedback why I disliked the course, and unfortunately those ideas and feeling are even stronger with this one. Summary: The course is way too shallow and puts focus on many different things rather than what it should have done which is build on the deep learning specialization and do in depth focus on tensorflow.

автор: Jeremy L

9 апр. 2021 г.

This course severely lacks depth, and the explanations are almost non-existing. Some theoretical background is completely missing and I wonder what the target audience is? Beginners will not be able to follow as many things are left unspoken and intermediate to expert learners will be left with a feeling of incompleteness. Big disappointment.

автор: Phillip B

6 мая 2021 г.

The discussion boards are unmoderated and none of the instructors are active. You need to go outside the scope of the program to get your code to work. Also their grading software often crashes because of THEIR code. I do not think they tested the class prior to uploading the materials.

автор: Jesús A M V

28 июня 2021 г.

It feels definitely rushed out and half-assed. The assignments are a joke. If you don't come with a prior understanding of the material being taught, you're in for a hard time. Then again, if you have to know what the course is trying to teach you, then the whole thing is pointless...

автор: Marco F d S

3 дек. 2020 г.

Last grade is the hell, the loading cvs file with the default Lab code, doesn't work, we need to use a solution found by another student, lot of people complaint, but cours not updated... Please fix this, we lose a lot o time to grade the last Exam, of week 4 :(

автор: Michael C L

6 апр. 2021 г.

The last assignment is severely broken and provides no reasonable instructions. When taking the final test you must dedicate 2-3 extra hours to sifting through user posted discussions to succeed.

автор: Jakob A

29 нояб. 2021 г.

N​otebooks don't match lessons. where the fuck did week 4 assignment come from? It has nothing to do with multi-class classification and uses several techinques never covered.

автор: Samiul B

23 июня 2020 г.

Very less lecture videos, most are reading based. By reading, it is hard to understand the topic and code implementatio.

автор: Matthew F

28 мар. 2021 г.

Poorly constructed labs in this one, made it take much longer than needed to understand the course content.

автор: Anders S P

11 янв. 2021 г.

Spent 10 times as much time making the flakey grader code happy than actually learning the subject

автор: Gabriel S

13 сент. 2019 г.

no graded exercice

the rest is good but without graded exercice it's hard to really put it to work


1 мар. 2021 г.

poorly designed assignments and not much learned

автор: Aniket D B

30 сент. 2020 г.

Vague Assignment instructions.

автор: Alex D

27 окт. 2020 г.

Extremely basic