このコースについて

600,535 最近の表示

受講生の就業成果

13%

コースが具体的なキャリアアップにつながった

10%

昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における4の2コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル

Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.

約26時間で修了
英語
字幕:英語, ロシア語, 日本語

学習内容

  • Handle real-world image data

  • Plot loss and accuracy

  • Explore strategies to prevent overfitting, including augmentation and dropout

  • Learn transfer learning and how learned features can be extracted from models

習得するスキル

Inductive TransferAugmentationDropoutsMachine LearningTensorflow

受講生の就業成果

13%

コースが具体的なキャリアアップにつながった

10%

昇給や昇進につながった
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における4の2コース
柔軟性のある期限
スケジュールに従って期限をリセットします。
中級レベル

Course 1 of the TensorFlow Specialization, Python coding, and high-school level math are required. ML/DL experience is helpful but not required.

約26時間で修了
英語
字幕:英語, ロシア語, 日本語

講師

提供:

deeplearning.ai ロゴ

deeplearning.ai

シラバス - 本コースの学習内容

コンテンツの評価Thumbs Up97%(5,589 件の評価)Info
1

1

7時間で修了

Exploring a Larger Dataset

7時間で修了
8件のビデオ (合計18分), 5 readings, 3 quizzes
8件のビデオ
A conversation with Andrew Ng1 分
Training with the cats vs. dogs dataset2 分
Working through the notebook4 分
Fixing through cropping49
Visualizing the effect of the convolutions1 分
Looking at accuracy and loss1 分
Week 1 Wrap up33
5件の学習用教材
Before you Begin: TensorFlow 2.0 and this Course10 分
The cats vs dogs dataset10 分
Looking at the notebook10 分
What you'll see next10 分
What have we seen so far?10 分
1の練習問題
Week 1 Quiz30 分
2

2

7時間で修了

Augmentation: A technique to avoid overfitting

7時間で修了
7件のビデオ (合計14分), 6 readings, 3 quizzes
7件のビデオ
Introducing augmentation2 分
Coding augmentation with ImageDataGenerator3 分
Demonstrating overfitting in cats vs. dogs1 分
Adding augmentation to cats vs. dogs1 分
Exploring augmentation with horses vs. humans1 分
Week 2 Wrap up37
6件の学習用教材
Image Augmentation10 分
Start Coding...10 分
Looking at the notebook10 分
The impact of augmentation on Cats vs. Dogs10 分
Try it for yourself!10 分
What have we seen so far?10 分
1の練習問題
Week 2 Quiz30 分
3

3

7時間で修了

Transfer Learning

7時間で修了
7件のビデオ (合計14分), 5 readings, 3 quizzes
7件のビデオ
Understanding transfer learning: the concepts2 分
Coding transfer learning from the inception mode1 分
Coding your own model with transferred features2 分
Exploring dropouts1 分
Exploring Transfer Learning with Inception1 分
Week 3 Wrap up36
5件の学習用教材
Start coding!10 分
Adding your DNN10 分
Using dropouts!10 分
Applying Transfer Learning to Cats v Dogs10 分
What have we seen so far?10 分
1の練習問題
Week 3 Quiz30 分
4

4

7時間で修了

Multiclass Classifications

7時間で修了
6件のビデオ (合計12分), 5 readings, 3 quizzes
6件のビデオ
Moving from binary to multi-class classification44
Explore multi-class with Rock Paper Scissors dataset2 分
Train a classifier with Rock Paper Scissors1 分
Test the Rock Paper Scissors classifier2 分
A conversation with Andrew Ng1 分
5件の学習用教材
Introducing the Rock-Paper-Scissors dataset10 分
Check out the code!10 分
Try testing the classifier10 分
What have we seen so far?10 分
Wrap up10 分
1の練習問題
Week 4 Quiz30 分

レビュー

CONVOLUTIONAL NEURAL NETWORKS IN TENSORFLOW からの人気レビュー

すべてのレビューを見る

TensorFlow in Practice専門講座について

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. Looking for more advanced TensorFlow content? Check out the new TensorFlow: Data and Deployment Specialization....
TensorFlow in Practice

よくある質問

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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