About this Course

228,545 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

You should take the first 3 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

Approx. 13 hours to complete
English

What you will learn

  • Solve time series and forecasting problems in TensorFlow

  • Prepare data for time series learning using best practices

  • Explore how RNNs and ConvNets can be used for predictions

  • Build a sunspot prediction model using real-world data

Skills you will gain

ForecastingMachine LearningTensorflowTime Seriesprediction
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

You should take the first 3 courses of the TensorFlow Specialization and be comfortable coding in Python and understanding high school-level math.

Approx. 13 hours to complete
English

Instructor

Offered by

Placeholder

DeepLearning.AI

Syllabus - What you will learn from this course

Content RatingThumbs Up97%(6,321 ratings)Info
Week
1

Week 1

3 hours to complete

Sequences and Prediction

3 hours to complete
10 videos (Total 33 min), 3 readings, 3 quizzes
10 videos
Time series examples4m
Machine learning applied to time series1m
Common patterns in time series5m
Introduction to time series4m
Train, validation and test sets3m
Metrics for evaluating performance2m
Moving average and differencing2m
Trailing versus centered windows1m
Forecasting4m
3 readings
Introduction to time series notebook10m
Forecasting notebook10m
Week 1 Wrap up10m
1 practice exercise
Week 1 Quiz
Week
2

Week 2

3 hours to complete

Deep Neural Networks for Time Series

3 hours to complete
10 videos (Total 27 min), 5 readings, 3 quizzes
10 videos
Preparing features and labels4m
Preparing features and labels3m
Feeding windowed dataset into neural network2m
Single layer neural network2m
Machine learning on time windows37s
Prediction2m
More on single layer neural network2m
Deep neural network training, tuning and prediction4m
Deep neural network3m
5 readings
Preparing features and labels notebook10m
Sequence bias10m
Single layer neural network notebook10m
Deep neural network notebook10m
Week 2 Wrap up10m
1 practice exercise
Week 2 Quiz
Week
3

Week 3

3 hours to complete

Recurrent Neural Networks for Time Series

3 hours to complete
10 videos (Total 20 min), 5 readings, 3 quizzes
10 videos
Conceptual overview2m
Shape of the inputs to the RNN2m
Outputting a sequence1m
Lambda layers1m
Adjusting the learning rate dynamically2m
RNN1m
LSTM1m
Coding LSTMs2m
More on LSTM1m
5 readings
More info on Huber loss10m
RNN notebook10m
Link to the LSTM lesson10m
LSTM notebook10m
Week 3 Wrap up10m
1 practice exercise
Week 3 Quiz
Week
4

Week 4

3 hours to complete

Real-world time series data

3 hours to complete
11 videos (Total 24 min), 5 readings, 3 quizzes
11 videos
Convolutions58s
Bi-directional LSTMs3m
LSTM1m
Real data - sunspots3m
Train and tune the model3m
Prediction1m
Sunspots1m
Combining our tools for analysis3m
Congratulations!38s
Specialization wrap up - A conversation with Andrew Ng2m
5 readings
Convolutional neural networks course10m
More on batch sizing10m
LSTM notebook10m
Sunspots notebook10m
Wrap up10m
1 practice exercise
Week 4 Quiz

Reviews

TOP REVIEWS FROM SEQUENCES, TIME SERIES AND PREDICTION

View all reviews

About the DeepLearning.AI TensorFlow Developer Professional Certificate

DeepLearning.AI TensorFlow Developer

Frequently Asked Questions

More questions? Visit the Learner Help Center.