Chevron Left
Вернуться к Convolutional Neural Networks in TensorFlow

Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,383
Рецензии: 1,149

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..


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:

276–300 из 1,152 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Shivam R D

12 сент. 2020 г.

This course gave me thorough knowledge of CNN.Thanks Laurence Moroney and Coursera for this course.

автор: Scott Q

6 дек. 2019 г.

Laurence and Andrew are great and the course is just what I need to get a start in Machine Learning.

автор: Saptashwa B

16 окт. 2019 г.

Very effective notebooks and the suggested resources along the way were helpful. Enjoyed thoroughly!

автор: Kenechukwu N

10 сент. 2019 г.

This is a great course but I will advise taking Andrew's "Deep Learning Specialization" before this.

автор: Chirag S

1 авг. 2019 г.

Laurence is just awesome. Kudos to his team and special thanks to Coursera and team

автор: George M

23 дек. 2020 г.

Very good course in providing the basics on how to make a multi-class classifier with limited data.

автор: Francisco P

21 окт. 2020 г.

The labs are really helpful to understand the concepts! so far the labs that I have liked the most!

автор: Deepak K

14 окт. 2019 г.

The course is really amazing in the way it is taught. Perfect combination of practice and guidance.

автор: Abdelrahman M

15 дек. 2020 г.

I hope you give more sessions before the last assignment it needs more explanation for the details

автор: 全玉湖

2 авг. 2019 г.

These wonderful courses help me learn a lot, and I really want to thank the teacher and the staff.

автор: Malik H

3 янв. 2022 г.

Amazing. I have learned many things. I really like because this involves practical implementation

автор: Rohan P

12 июля 2020 г.

This course was absolutely fantastic! Very well explained. Great content. Fun, hand-on exercises.

автор: Chandrasekhara S V

10 мая 2020 г.

Very good course. Thanks Laurence Moroney for detailed explanation and comprehensive assignments.

автор: Dan R

8 мая 2020 г.

The amount of crisp detail to this course is one of the standout features of this specialization.

автор: Richard S

15 сент. 2019 г.

Great course digging into convnets, augmentation, transfer learning and multiclass classification

автор: Biranchi N N

31 июля 2019 г.

Excellent course on CNN. Learnt about Transfer Learning, Fine tuning and Image Data Augmentation.

автор: George Z

18 апр. 2020 г.

Look at Rock paper scissors issue stuck at epoch 1 and preprocessing of the last sign mnist lab.

автор: Dave P

25 янв. 2020 г.

Laurence does a great job. Very easy to understand. Andrew, as always, provides great insight.

автор: Mohamed j P

5 июля 2020 г.

Its a great learning. You will acquire main skills like Transfer learning, Image Augmentation .

автор: Pablo L

19 февр. 2021 г.

I am anxious to start working on the next level of DNN, Natural Language Processing here I go!

автор: Yoon-Kit Y

1 окт. 2020 г.

The final exercise is a curveball - make sure you understand the fundamentals taught early on!

автор: Barka T

20 янв. 2020 г.

I learnt a lot through this course, object detection and recognition with tensorflow made easy

автор: Shashank T

2 янв. 2020 г.

This will help in understanding the basics and will enable the individual to work effectively.

автор: DIPTESH B

21 окт. 2020 г.

It was a good course but I think the graded notebooks should have more detailed instructions.

автор: YAN B

22 июня 2020 г.

Great presentation and practice sets. Need to improve the quality of explanation of the code.