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Вернуться к Convolutional Neural Networks in TensorFlow

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

4.7
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Оценки: 3,838
Рецензии: 585

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

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..

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.

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76–100 из 583 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Vishakan

Apr 22, 2020

Learnt a lot of new things about image classification, how to better predict images using TensorFlow. Laurence Moroney is a great teacher who skillfully explains the code and its significance in an easy-to-understand manner.

автор: Surya K S

Apr 06, 2020

Incredible course structure. Really well designed and thoughtful. The programming assignments were especially very helpful. Grateful to Coursera for letting me do this specialization during these uncertain times of COVID-19.

автор: Chirag G

Mar 08, 2020

This specialization is really helpful. I had done other specializations and Machine Learning Course of Andrew Ng. But this course helped me to revise those topics as well as implement them in the real world.

автор: Sharan S M

Oct 22, 2019

After finishing this course, I was able to build a neural network that could identify different types of boats with around 94% accuracy. I used many techniques learned in this course like image augmentation.

автор: Vincent H

Nov 26, 2019

IT is a great course about Deep Learning and above all, how to code it with Python.

It is very practical and you learn a lot of features about the Tensor Flow framework that you can reuse for other issues.

автор: Md. A K A

Mar 28, 2020

Really enjoyed the course. Thanks deeplearning.ai team. Except "Inception" every topic was clearly practiced. For "Inception", I am eager to learn how to lock a model & how he trained weight can be saved.

автор: Ravi P B

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..

автор: Javier M

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.

автор: Muhammad H

May 24, 2019

A very comprehensive and easy to learn course on Tensor Flow. I am really impressed by the Instructor ability to teach difficult concept with ease. I will look forward another course of this series.

автор: SANDANAKISHNAN S

Dec 09, 2019

Very clear explanation on the concepts at the higher level and practical application of it is discussed, demonstrated and also the exercises are of the same way. You will just love learning this way

автор: Parab N S

Sep 14, 2019

An excellent course by Laurence Moroney on explaining how ConvNets are prepared using Tensorflow. A really good strategy to have the programming exercises on Google Colab to speed up the processing.

автор: Mohd S K

Dec 14, 2019

a very nice course on ConvNets. Image journey through convnets and logic behind using specific type of layers. you can very wellunderstand the keras structure to build convnets through this.

автор: maryam m

Oct 26, 2019

Well structures course. No matter your level of expertise you can learn from this course and implement models more professionally and improve answers accuracy using this course techniques.

автор: clement l r

Jan 22, 2020

A very nice course to finish understand well convolutio, data augmentation, overfitting in neural network, as well as transfer learning and making classifier for binary and multiclass.

автор: Md. S R

Jul 31, 2019

This course is so best for the new practitioners! Because when you are learning deep learning theoritically, this course will help you at such level to make you practice these highly.

автор: Erling J

Jul 12, 2019

Brilliant course this. I especially enjoyed the parts about image augmentation with the use of ImageDataGenerator and the transfer learning addition wit huse of the Inception network.

автор: Mohammed B S

Apr 17, 2020

Excellent course. learnt new techniques like image augmentation,transfer learning , dropout in a fun way, Really appreciate the videos being small, to the point. Highly recommend.

автор: Sai K K K

Jan 09, 2020

Fundamentals Concepts and Coding related to CNN-Classifications, Augmentation, Dropouts, Regularization and Transfer learning are well presented. Enjoyed a lot during the course..

автор: Piero C

Sep 06, 2019

Laurence is an excellent teacher and this is a incredible course. I love topics like Computer Vision, Deep Learning, and this is an excellent step to make great things about that.

автор: Rushikesh N P

Feb 07, 2020

this is a great course,teaching is outstanding. this course has covered all basics needed for deep learning and CNN.this course also give us good understanding of tensorflow.

автор: Manuel R

Jul 07, 2019

The material was well presented and easy to follow. The instructor skillfully described the functionality in the code... to reinforce to training objectives for the lesson.

автор: Federico D

May 31, 2020

Clear explanations on how to use tf for image recognition, very useful the part on transfer learning. The only flaw is the absence of a chapter/section on object detection.

автор: R. A F L

Apr 20, 2020

The good explanation about how to implement good design of machine learning to avoid overfitting etc. Very useful resources (dropout, augmentation, and transfer learning).

автор: Eddy P

Jun 19, 2019

Very hands-on experience learning through this course. But only with a little of content each week comparing to the deep learning specialization by the same organization.

автор: Ulugbek D

Nov 18, 2019

The course is straight to the point. The instructor provides his code structure too, which can be a great reference to people are keen on implementing the TF right away.