Chevron Left
Voltar para Convolutional Neural Networks in TensorFlow

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

7,650 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


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!

Filtrar por:

951 — 975 de 1,179 Avaliações para o Convolutional Neural Networks in TensorFlow

por Taras B

23 de mar de 2022

It will be very nice to have more coding exercices.

por Haoran C

4 de set de 2019

Please transfer the notebook from CoLab to Coursera.

por Robert G

11 de dez de 2019

I would like to see examples with videos, yolo, etc


2 de out de 2019

A more advanced course would be highly appreciated.

por Ruiwen W

22 de jul de 2020

Assignment material not very aligned with lectures

por Gerardo S

16 de set de 2020

I feel like this series of courses is too narrow

por Ahmet K

30 de dez de 2019

Nice course! All detailed and explained. Thanks!

por Jay T

1 de set de 2020

A bit hard to understand the final assignment.

por Kailyn W

9 de set de 2019

I need more coding practice, not just quizzes.

por Michel M

6 de ago de 2019

The final assignment was somewhat a steep step

por Zhi Z

6 de jul de 2019

A good course for Keras but not for tensoflow.

por Aleksander W

14 de fev de 2021

better than course #1 of this specialisation

por Surya n T S

24 de out de 2021

A very practical approach towards learning.

por Prabhat K G

29 de mai de 2020

Last assignment needs much more explanation

por RAVI P

17 de jun de 2020

Programming exercises are a bit confusing.

por Dr. S G

17 de abr de 2020

Learned many things about computer vision.

por Zanuar E R

18 de jan de 2022

Good Course, I have learned a lot from it

por zhizhen w

10 de ago de 2020

a bit too easy for professional engineer

por Yu-Chen L

18 de jun de 2020

Maybe could be better with more content.

por Shankar K M

10 de fev de 2020

Very repetitive examples and howe works.

por rajesh t

12 de jan de 2020

Need more depth and real life scenarios.

por Vaidic J

25 de mai de 2020

little more explanations were required

por Muthiah A

5 de jan de 2020

Useful continuation for practitioner.

por Saniya S

25 de mai de 2020

Assignment submission was very slow.

por Renato R

5 de jan de 2020

needs to be more advanced too basic