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Voltar para Convolutional Neural Networks in TensorFlow

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

7,377 classificações
1,147 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 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


12 de nov de 2020

A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!


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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276 — 300 de 1,149 Avaliações para o Convolutional Neural Networks in TensorFlow

por Scott Q

6 de dez de 2019

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

por Saptashwa B

16 de out de 2019

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

por Kenechukwu N

10 de set de 2019

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

por Chirag S

1 de ago de 2019

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

por George M

23 de dez de 2020

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

por Francisco P

21 de out de 2020

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

por Deepak K

14 de out de 2019

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

por Abdelrahman M

15 de dez de 2020

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

por 全玉湖

2 de ago de 2019

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

por Malik H

3 de jan de 2022

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

por Rohan P

12 de jul de 2020

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

por Chandrasekhara S V

10 de mai de 2020

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

por Dan R

8 de mai de 2020

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

por Richard S

15 de set de 2019

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

por Biranchi N N

31 de jul de 2019

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

por George Z

18 de abr de 2020

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

por Dave P

25 de jan de 2020

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

por Mohamed j P

5 de jul de 2020

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

por Pablo L

19 de fev de 2021

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

por Yoon-Kit Y

1 de out de 2020

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

por Barka T

20 de jan de 2020

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

por Shashank T

2 de jan de 2020

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


21 de out de 2020

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

por YAN B

22 de jun de 2020

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

por Sai V A

22 de mai de 2020

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