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Отзывы учащихся о курсе Convolutional Neural Networks in TensorFlow от партнера

Оценки: 7,160
Рецензии: 1,116

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

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.

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..

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301–325 из 1,116 отзывов о курсе Convolutional Neural Networks in TensorFlow

автор: Nooruddin I

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: Shintya R R M

23 мар. 2021 г.

The course gives me hands-on experiences on how to build CNN model to transfer learning.

автор: Jose A G R

19 авг. 2020 г.

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

автор: Sammya M

10 авг. 2020 г.

Excellent course to learn Coding with tensorflow. Clear examples and plenty of practice.

автор: Luis C

26 сент. 2019 г.

Muy buena introduccion a CNN, construyendo Multiclass Classifiers y Binary Classifiers

автор: Jian C

1 нояб. 2020 г.

I have learned a lot of new ideas and useful tools available in TensorFlow. Thank you!

автор: Chintan H R

30 июля 2020 г.

This is the best course for NN. I learn many things with the best practical knowledge.

автор: Török P

25 июня 2020 г.

Easy to follow, somewhat more challenging on image (file) processing part than the ML.

автор: Adhitya R E

11 мая 2020 г.

It's very confusing for the last assignment. I tried hundreds time, finally I succeed.

автор: Akshay A

5 апр. 2021 г.

Had a great time learning about convolutional neural networks and various techniques.

автор: Satyajeet P

23 июня 2020 г.

Such a brilliant course!

Explains a lot about TF and Keras, Other trained models, etc.

автор: Barry M

22 мар. 2021 г.

Great instructors, very intuitive class. Awesome work and thank you for teaching us!

автор: Adarsh W

20 дек. 2020 г.

It was a good CNN course, but I think there should be a week 5 for Object Detection.

автор: Ahmad F G

8 апр. 2021 г.

Awesome, To Learn Something New Such as Convolutional Neural Networks in TensorFlow

автор: ANAGH P

11 апр. 2020 г.

The instructor is good. Makes the course look easy. Discussion forums helped a lot.

автор: F S

29 окт. 2020 г.

great course, everything is explained just enough, so you can explore them further

автор: Abhishek S R

7 окт. 2020 г.

The course is really very helpful in understanding the concepts and applying them.


17 окт. 2019 г.

Amazing course helps in gathering all the required skills needed for deep learning

автор: Muhammad I

27 апр. 2021 г.

a cool practical steps makes me know more about what is going on in intuitive way

автор: TRAN F H

25 окт. 2020 г.

Very nice lessons, going in depths for the ConvNet and training real world images

автор: Fernando M

9 сент. 2020 г.

Intresting course, easy to follow,looking forward to complete the specialization.

автор: David R C S

6 янв. 2021 г.

Great course if you want to learn some theory of CNN and practice what you learn

автор: Manoj P

2 сент. 2020 г.

Simple understanding of concepts .Hands on approach .IN all an excellent course.

автор: Mahamat M A A

17 июля 2019 г.

The way this course was taught very easy and clear. Thank you for both of you :)