Chevron Left
Вернуться к Convolutional Neural Networks in TensorFlow

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

4.7
звезд
Оценки: 6,038
Рецензии: 919

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
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.

RB
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..

Фильтр по:

251–275 из 912 отзывов о курсе Convolutional Neural Networks in TensorFlow

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: David 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: Yoon K 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.

автор: Sai V A

22 мая 2020 г.

This is the best course if you want to learn the basics of using Tensorflow and Deep Learning

автор: Lydia N

2 янв. 2020 г.

Amazing course, a fast overview on how to facilitate TensorFlow for computer vision problems.

автор: Lokesh B

24 апр. 2020 г.

A very helpful course covering the basics of CNN in TensorFlow. This is just the first step.

автор: KFDing

3 сент. 2020 г.

This course focuses a lot on practices and spreads the topic on the codes. I like this way.

автор: Vo T L

19 авг. 2019 г.

I learned new useful techniques from the course and Laurence's explanation is really clear!

автор: Purificación V

18 дек. 2020 г.

Great course! It helps me a to know a lot of things about TensorFlow. Thank you very much!

автор: Luv b

1 июля 2020 г.

Good course for those who already done course of DEEP LEARNING SPECIALIZATION by andrew ng

автор: Yiqiao Y

27 июня 2019 г.

I really love this course! It is a lot of fun and I highly recommend this to other people.

автор: Rahul B

3 авг. 2020 г.

Absolutely outstanding! And probably the best of all the 4 courses in this specialization

автор: Sheikh N

2 апр. 2020 г.

Great introductory course. The last exercise from week 4 needs more documentation though.

автор: Alex M

26 июля 2019 г.

Great material taught in a way that's easy to digest with plenty of examples to practice.

автор: Jose A G R

19 авг. 2020 г.

Un gran curso para aprender, algunos de los tópicos mas importantes en Redes neuronales.