Chevron Left
Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,641

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


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!


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.

Фильтр по:

376–400 из 1,178 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: nitesh s

7 янв. 2020 г.

i was able to complete my minor project after completing this course

автор: Lautaro R S

28 апр. 2020 г.

Improve the Final Assigment's grading software for the love of god!

автор: NIKHIL T

3 дек. 2020 г.

Very Valuable course. Hoping to start the next course very soon!!!

автор: Yergali B

6 окт. 2019 г.

Thank you,! I've understood more deeply about CNN.

автор: Александр З

5 сент. 2019 г.

Really liked this one with lots of data to play with and examples.

автор: Rishi

17 авг. 2019 г.

Great course to learn about Convolutional Neural Networks in Keras

автор: Mahdi P

12 авг. 2019 г.

Great course to learn and implement CNN with Keras. Thanks a lot.

автор: Petyo P

29 мар. 2020 г.

Great on the point training. It gives a lot of food for thought.

автор: Praneeth Y

10 июля 2019 г.

Great opportunity to experiment and learn through the exercises!

автор: Souvik M

19 сент. 2021 г.

The best course to start with Computer Vision using TensorFlow.

автор: Nikesh T

5 окт. 2020 г.

I learned new things like Transfer learning, more depth in CNN.

автор: Ganesh A

10 апр. 2020 г.

Great explanation of concepts and implementation in tensorflow

автор: LiangTian

20 мая 2019 г.

this class is not difficult ,it is suitable for benginers of DL

автор: Alejandro V

28 окт. 2020 г.

Real life examples, competition reviews and excellent guidance

автор: Avinash S

29 апр. 2020 г.

Understood more concets, Looking forward to Pytorch frameworks

автор: Jimut B P

24 дек. 2019 г.

Superb hands on with relatively difficult example step by step

автор: PLN R

15 окт. 2019 г.

Exceptionally amazing course. Suitable for even the beginners!

автор: Ronak S J

19 мая 2020 г.

excellent explaination and good balance of theory and pratice

автор: Hemant Y

17 нояб. 2020 г.

A very practical course to learn TS for Image classification

автор: Widi W

2 мая 2020 г.

Great course! All the content, the exercise. Thanks so much.

автор: Cosimo R

12 апр. 2020 г.

Very clear and easy to follow course, I warmly recommend it!

автор: Victor C

27 янв. 2020 г.

implement example is helpful, hope I can use these in my try

автор: Apurv j

13 сент. 2019 г.

Short sweet and perfect videos to be understood very easily.

автор: Desiré D W

8 авг. 2019 г.

Great content, excellent explanations, no assignment hassles

автор: Aptha G

24 июля 2019 г.

Really helped a lot in understanding CNN, transfer learning.