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

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5,820 classificações
882 avaliações

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 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....

Melhores avaliações

JM
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.

RB
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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201 — 225 de 874 Avaliações para o Convolutional Neural Networks in TensorFlow

por VAGHELA H N S

18 de Jun de 2020

course is well designed. The codes and notebooks provided in the course can be very much helpful for any beginner to learn.

por Lee T C

18 de Jun de 2020

Very insightful and involving course that teaches you how to perform image classification with Convolution Neural Networks.

por SRIKANTH T

12 de Set de 2020

the course in nice , the explanation given by Laurence Moroney is excellent , so the course is highly recommended to take

por Gogul I

22 de Jun de 2019

Amazing course to learn concepts such as Dropouts, Augmentation and Transfer Learning to solve real world image problems.

por Carlos S

22 de Mai de 2020

Great course! It actually develops very fast upon the fundamentals covered by Andrew in the Deep Learning Specialization

por George D

8 de Ago de 2019

Very good intro on the subject. Little bit too much hand holding but good overall for complete new folks to the subject.

por Rukshan J S

27 de Abr de 2020

Very well put out course. Gradually increasing the challenge level of exercise is really appreciated! Thanks, Coursera!

por Sanjay R

25 de Jul de 2019

A very good approach to make beginners feel like home. It's pretty clear and notebooks is also very easy to understand.

por sushant p

23 de Nov de 2019

Wonderful Course on Convolutional Neural Network Using TF. Having Base knowledge of CNN and DNN Will help immensely !!

por Akash S

24 de Ago de 2020

Amazing! I learnt so many exciting things. Completed 8 weeks in 2 weeks! Can't wait to get to Laurence's next course!

por Satyam s

18 de Abr de 2020

This course has been starting point of my deep learning carrier,

I have learned a lot from this course.

Thanks so much.

por Pushpak G

5 de Set de 2020

Again a good course which covers a lot of practical implementation of Conv nets and image classification.

Appreciated

por Laode M F

26 de Abr de 2020

Great course to learn computer vision. You'll learn augmentation, transfer learning, and multi class classification.

por Peter L

19 de Mar de 2020

Great grounding so far in tensorflow. Looking forward to cracking on with the next 2 to complete the specialisation.

por Tarin N

27 de Jun de 2020

This course is essential for any data scientist to learn about Convolutional Neural Networks by using TensorFlow.

por Ga W

18 de Mar de 2020

a lot of interesting notebooks that help to understand to tensorflow(keras) functionality on handling image data.

por Harish S

4 de Ago de 2019

Learn't best practices, which I can directly use in work. Content could have been little bit more longer/tougher.

por ANMOL J

30 de Ago de 2020

Amazing and in-depth course on implementation of methods like augmentation and transfer learning in Tensorflow

por Debashis G

9 de Jul de 2020

Well designed nice hands on course. Highly recommended for the beginner who wants to start with Tensorflow 2.0

por Md R U

7 de Mai de 2020

Lawrence is an excellent teacher and you get to work on many diverse datasets which is always a good practice.

por Muthu R P E

15 de Nov de 2019

Practice with various data sets, and learn the tools to use for convolutional neural networks with tensor flow

por Ilan A

9 de Jul de 2020

Great course! I think there could be more emphasis on Transfer Learning and how a great breakthrough it is.

por Chi ( M

11 de Ago de 2019

practical guidance to CNN in image recognition. Hopefully to have a self-driving car project in the future.

por Seung G H

25 de Out de 2020

This course is a good starting point about the computer vision field with the convolution neural network.

por Nelson S S

11 de Out de 2020

In these difficult times what remains for us to continue learning.

Thanks Professors Laurence and Andrew