Chevron Left
Voltar para Convolutional Neural Networks in TensorFlow

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

6,052 classificações
923 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

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:

601 — 625 de 916 Avaliações para o Convolutional Neural Networks in TensorFlow

por Hasib Z

16 de Ago de 2019

The best!

por Gaurav P

8 de Ago de 2019

Too basic

por Mohamed M F

2 de Ago de 2020


por Christos M

21 de Mar de 2020


por Shailesh K

4 de Ago de 2020


por Vaibhav v s

2 de Jun de 2020


por Mazahir R

17 de Abr de 2020


por Santiago G

12 de Mar de 2020


por hitashu k

13 de Jan de 2020


por Kavya B

5 de Dez de 2019


por Jeff L J D

5 de Nov de 2020


por Josef N

19 de Jun de 2020


por Ben B

6 de Mai de 2020


por Aji S

3 de Mai de 2020


por tg l

17 de Jan de 2021


por Johnnie W

22 de Set de 2020



25 de Jul de 2020


por Rifat R

7 de Jun de 2020


por PANG M Q

29 de Mai de 2020


por Amit K

13 de Mai de 2020


por Nho N

17 de Mar de 2020


por zhenzhen w

18 de Nov de 2019


por Jurassic

6 de Set de 2019


por 林韋銘

20 de Ago de 2019


por João A J d S

3 de Ago de 2019

I think I might say this for every course of this specialisation:

Great content all around!

It has some great colab examples explaining how to put these models into action on TensorFlow, which I'm know I'm going to revisit time and again.

There's only one thing that I think it might not be quite so good: the evaluation of the course. There isn't one, apart from the quizes. A bit more evaluation steps, as per in Andrew's Deep Learning Specialisation, would require more commitment from students.