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Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера deeplearning.ai

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Оценки: 5,595
Рецензии: 845

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 deeplearning.ai 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 deeplearning.ai 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

JM

Sep 12, 2019

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.

RB

Mar 15, 2020

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..

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201–225 из 840 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: sushant p

Nov 23, 2019

Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!

автор: Akash S

Aug 24, 2020

Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!

автор: Satyam s

Apr 18, 2020

This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

автор: Pushpak G

Sep 05, 2020

Again a good course which covers a lot of practical implementation of Conv nets and image classification.

Appreciated

автор: Laode M F

Apr 26, 2020

Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.

автор: Peter L

Mar 19, 2020

Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.

автор: Tarin N

Jun 27, 2020

This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.

автор: Ga W

Mar 18, 2020

a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.

автор: Harish S

Aug 04, 2019

Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.

автор: ANMOL J

Aug 30, 2020

Amazing and in-depth course on implementation of methods like augmentation and transfer learning in Tensorflow

автор: Debashis G

Jul 09, 2020

Well designed nice hands on course. Highly recommended for the beginner who wants to start with Tensorflow 2.0

автор: Md R U

May 07, 2020

Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.

автор: Muthu R P E

Nov 15, 2019

Practice with various data sets, and learn the tools to use for convolutional neural networks with tensor flow

автор: Ilan A

Jul 09, 2020

Great course! I think there could be more emphasis on Transfer Learning and how a great breakthrough it is.

автор: Chi ( M

Aug 11, 2019

practical guidance to CNN in image recognition. Hopefully to have a self-driving car project in the future.

автор: Seung G H

Oct 25, 2020

This course is a good starting point about the computer vision field with the convolution neural network.

автор: Nelson S S

Oct 12, 2020

In these difficult times what remains for us to continue learning.

Thanks Professors Laurence and Andrew

автор: Cuong V

Apr 11, 2020

It helps me a lot! I've learnt transfer learning and data augmentation by tensorflow. And thanks a lot.

автор: Bao L H

Mar 23, 2020

Thank you so much!

This is a course with very useful lessons!

Once, Thank for giving me this opportunity!

автор: Anoushkrit G

Nov 25, 2019

Absolutely incredible course, but could have focused real TensorFlow and not the High Level API, Keras.

автор: Bhakti A P

Oct 13, 2020

Excellent course with very appropriate explanation. Thank you very much Andrew Ng and Laurence MOroney

автор: Роман Л

May 05, 2020

Its wonderful course! I've learnt how to make data augmentation and transfer learning with tensorflow.

автор: Francis G

Apr 30, 2020

It was a great course but we should add more diagrams to understand what we are doing in code!

Thanks!

автор: Nantogma S

Feb 03, 2020

This is an excellent course that got me up and running on CNN and TensorFlow. Thanks to the instructor

автор: Vaseekaran V

Oct 10, 2020

Really great intro to using ConvNets. Thanks a lot Laurence Sir and Andrew sir for this great course.