Informações sobre o curso
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100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.

Aprox. 8 horas para completar

Sugerido: 4 weeks, 4-5 hours/week...

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Learn best practices for using TensorFlow, a popular open-source machine learning framework

  • Check

    Build a basic neural network in TensorFlow

  • Check

    Train a neural network for a computer vision application

  • Check

    Understand how to use convolutions to improve your neural network

Habilidades que você terá

Computer VisionTensorflowMachine Learning

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

Experience in Python coding and high school-level math is required. Prior machine learning or deep learning knowledge is helpful but not required.

Aprox. 8 horas para completar

Sugerido: 4 weeks, 4-5 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
3 horas para concluir

A New Programming Paradigm

Welcome to this course on going from Basics to Mastery of TensorFlow. We're excited you're here! In week 1 you'll get a soft introduction to what Machine Learning and Deep Learning are, and how they offer you a new programming paradigm, giving you a new set of tools to open previously unexplored scenarios. All you need to know is some very basic programming skills, and you'll pick the rest up as you go along. To get started, check out the first video, a conversation between Andrew and Laurence that sets the theme for what you'll study...

...
4 vídeos ((Total 16 mín.)), 5 leituras, 3 testes
4 videos
A primer in machine learning3min
The ‘Hello World’ of neural networks5min
Working through ‘Hello World’ in TensorFlow and Python3min
5 leituras
Learner Support10min
From rules to data10min
Try it for yourself10min
Introduction to Google Colaboratory10min
Week 1 Resources10min
1 exercício prático
Week 1 Quiz
Semana
2
4 horas para concluir

Introduction to Computer Vision

Welcome to week 2 of the course! In week 1 you learned all about how Machine Learning and Deep Learning is a new programming paradigm. This week you’re going to take that to the next level by beginning to solve problems of computer vision with just a few lines of code! Check out this conversation between Laurence and Andrew where they discuss it and introduce you to Computer Vision!

...
7 vídeos ((Total 15 mín.)), 6 leituras, 3 testes
7 videos
An Introduction to computer vision2min
Writing code to load training data2min
Coding a Computer Vision Neural Network2min
Walk through a Notebook for computer vision3min
Using Callbacks to control training1min
Walk through a notebook with Callbacks1min
6 leituras
Exploring how to use data10min
The structure of Fashion MNIST data10min
See how it's done10min
Get hands-on with computer vision1h
See how to implement Callbacks10min
Week 2 Resources10min
1 exercício prático
Week 2 Quiz
Semana
3
5 horas para concluir

Enhancing Vision with Convolutional Neural Networks

Welcome to week 3! In week 2 you saw a basic Neural Network for Computer Vision. It did the job nicely, but it was a little naive in its approach. This week we’ll see how to make it better, as discussed by Laurence and Andrew here.

...
6 vídeos ((Total 19 mín.)), 6 leituras, 3 testes
6 videos
What are convolutions and pooling?2min
Implementing convolutional layers1min
Implementing pooling layers4min
Improving the Fashion classifier with convolutions4min
Walking through convolutions3min
6 leituras
Coding convolutions and pooling layers10min
Learn more about convolutions10min
Getting hands-on, your first ConvNet10min
Try it for yourself1h
Experiment with filters and pools1h
Week 3 Resources10min
1 exercício prático
Week 3 Quiz
Semana
4
6 horas para concluir

Using Real-world Images

Last week you saw how to improve the results from your deep neural network using convolutions. It was a good start, but the data you used was very basic. What happens when your images are larger, or if the features aren’t always in the same place? Andrew and Laurence discuss this to prepare you for what you’ll learn this week: handling complex images!

...
9 vídeos ((Total 27 mín.)), 10 leituras, 3 testes
9 videos
Understanding ImageGenerator4min
Defining a ConvNet to use complex images2min
Training the ConvNet with fit_generator2min
Walking through developing a ConvNet2min
Walking through training the ConvNet with fit_generator3min
Adding automatic validation to test accuracy4min
Exploring the impact of compressing images3min
Outro: A conversation with Andrew1min
10 leituras
Explore an impactful, real-world solution10min
Designing the neural network10min
Train the ConvNet with ImageGenerator10min
Exploring the solution10min
Training the neural network10min
Experiment with the horse or human classifier1h
Get hands-on and use validation30min
Get Hands-on with compacted images30min
Week 4 Resources10min
Outro10min
1 exercício prático
Week 4 Quiz
4.7
432 avaliaçõesChevron Right

44%

comecei uma nova carreira após concluir estes cursos

42%

consegui um benefício significativo de carreira com este curso

12%

recebi um aumento ou promoção

Principais avaliações do Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

por ASMar 9th 2019

Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?

por AWJun 7th 2019

An awesome practical course that helps me to start creating my first neural networks using keras in such great methods, the instructor is very good at delivering the knowledge he has\n\n.

Instrutores

Avatar

Laurence Moroney

AI Advocate
Google Brain

Sobre deeplearning.ai

deeplearning.ai is Andrew Ng's new venture which amongst others, strives for providing comprehensive AI education beyond borders....

Sobre o Programa de cursos integrados TensorFlow in Practice

Discover the tools software developers use to build scalable AI-powered algorithms in TensorFlow, a popular open-source machine learning framework. In this four-course Specialization, you’ll explore exciting opportunities for AI applications. Begin by developing an understanding of how to build and train neural networks. Improve a network’s performance using convolutions as you train it to identify real-world images. You’ll teach machines to understand, analyze, and respond to human speech with natural language processing systems. Learn to process text, represent sentences as vectors, and input data to a neural network. You’ll even train an AI to create original poetry! AI is already transforming industries across the world. After finishing this Specialization, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects. Courses 1-3 are available now, with Course 4 launching in July....
TensorFlow in Practice

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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