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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,045
Рецензии: 1,096

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!

Фильтр по:

176–200 из 1,098 отзывов о курсе Convolutional Neural Networks in TensorFlow


11 мар. 2020 г.

Excellent course. Convolutions are great way of making machine learning effective

I would like to thank Laurence Sir

and a Special thanks to Andrew Sir

автор: mark k

13 авг. 2019 г.

Very interesting course that starts to explore some more advanced topics of machine learning, in particular, Image Augmentation and Transfer Learning.

автор: Okta F S

9 авг. 2020 г.

This is really good course. By taking this course, I can get fundamental concept about how to write tensorflow code for image classification problem.

автор: Ajithavalli C

4 янв. 2020 г.

It was a great course! I am not an image processing person, but I enjoyed learning about CNNs through them. Looking forward to applications on texts!

автор: June L

31 дек. 2019 г.

It's a lot of fun building a ConvNet using my dog's pictures and reduce the overfitness through augmentation, dropouts and transfer learning! Thanks!

автор: Rahul R

14 сент. 2019 г.

Very well designed course on TensorFlow. Specially, a huge thank to Laurence Moroney for this wonderful course series. I really enjoyed the learning.

автор: Salman A

9 июня 2020 г.

It is a well designed course which really helps in translating the theoretical knowledge about convolution networks to its practical implementation.

автор: hiten s

11 нояб. 2019 г.

Excellent CNN Course. This Course Covers All The Topics Like Data Augmentation, Transfer Learning, Drop-Out, And Multi-Class-Classification Problem.

автор: Panneer S

15 апр. 2021 г.

This course is simple and effective. It is very good for entry level and mid level learners. thanks Laurence and Coursera for this wonderful course

автор: Bishmer S

6 янв. 2021 г.

Great introduction to CNNs and Transfer Learning.

Students will get to do binary then multiclass classifications, with comprehensive video lectures.

автор: B S K

10 сент. 2020 г.

I needed hands on experience in tensorflow and i got exactly that ,excellent course. By far this is the course i enjoyed the most! Kudos Laurence!!

автор: Abhishek P

10 июня 2019 г.

Awesome Course!

I was quite familiar with CNNs before,but I gained few tricks and trips from great instructors!

I would highly recommend this course!

автор: 毛昊

20 янв. 2020 г.


and I want to learn more about how to use CNN to do more sophisticated tasks such as object detection and semantic splitting. thank you.

автор: Amarsingh T

23 мар. 2021 г.

Fantastic course about Convolution Neural network. Learned about Image augmentation, various ways when overfitting occurs, and how to avoid them.

автор: Chilyatun N

30 апр. 2020 г.

I learn much about the convolutional neural network in a large data, augmentation, transfer learning, and multiclass classification. thank you!

автор: Jonas L J

4 сент. 2020 г.

Very interesting to learn about Convolutional Nerual Networks, this is a nice hands on course I'd like to recommend to anyone interested in ML

автор: Shum P

16 июля 2020 г.

The course provides a good balance of hands on labs supported by theory. It helps to also check documentation and experiment on finer details.

автор: Tuna A

30 апр. 2020 г.

This course was excellent for learning the fundamentals of CNNs. However, I wish the exercises and quizes were a little bit more challenging.

автор: Prashantkumar M G

22 апр. 2020 г.

All the parts explained clearly, and steadily. Ample resources were provided. Assignments were also great. Complexity was as per expectation.

автор: Vidit

7 июля 2019 г.

This course helped me understand the concept behind CNN's and the I was able to implement them in the given assignments. Thanks Laurence Sir!

автор: Ayush K

10 мая 2020 г.

Nice examples and working with new datasets helped a lot to define and understand new types of inputs and new ways to use ImageDatagenerator

автор: Dayananda D K

25 дек. 2019 г.

Again great explanation as first course(Introduction). Methodically increases the complexity without loosing the sight of the ultimate goal

автор: Jim M

23 янв. 2021 г.

This whole course series is good for absolute beginners. Don't expect any advanced specialization. As a beginner, I'm enjoying the series.

автор: Vinoth S

29 мая 2020 г.

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.

автор: Vinoth

28 мая 2020 г.

In this course i learned lot of details about Imagedatagenerator, Overfitting, dropout, Transfer Learning and Multiclass classification.