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Comentários e feedback de alunos de Convolutional Neural Networks in TensorFlow da instituição

7,431 classificações

Sobre o curso

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....

Melhores avaliações


11 de set de 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.


14 de mar de 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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1151 — 1158 de 1,158 Avaliações para o Convolutional Neural Networks in TensorFlow

por Jakob A

29 de nov de 2021

N​otebooks don't match lessons. where the fuck did week 4 assignment come from? It has nothing to do with multi-class classification and uses several techinques never covered.

por Samiul B

23 de jun de 2020

Very less lecture videos, most are reading based. By reading, it is hard to understand the topic and code implementatio.

por Matthew F

28 de mar de 2021

Poorly constructed labs in this one, made it take much longer than needed to understand the course content.

por Anders S P

11 de jan de 2021

Spent 10 times as much time making the flakey grader code happy than actually learning the subject

por Gabriel S

13 de set de 2019

no graded exercice

the rest is good but without graded exercice it's hard to really put it to work


1 de mar de 2021

poorly designed assignments and not much learned

por Aniket D B

30 de set de 2020

Vague Assignment instructions.

por Alex D

27 de out de 2020

Extremely basic