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Opiniones y comentarios de aprendices correspondientes a Convolutional Neural Networks in TensorFlow por parte de

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963 reseña

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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....

Principales reseñas

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..

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!

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251 - 275 de 957 revisiones para Convolutional Neural Networks in TensorFlow

por Kenechukwu N

10 de sep. 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 dic. 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 oct. 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 oct. de 2019

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

por Abdelrahman M

15 de dic. 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 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 may. de 2020

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

por Dan R

8 de may. de 2020

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

por Richard S

15 de sep. 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 David P

25 de ene. 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 feb. de 2021

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

por Yoon K Y

1 de oct. de 2020

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

por Barka T

20 de ene. de 2020

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

por Shashank T

2 de ene. de 2020

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


21 de oct. 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 may. de 2020

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

por Lydia N

2 de ene. de 2020

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

por Lokesh B

24 de abr. de 2020

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

por KFDing

3 de sep. de 2020

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