About this Course

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Course 5 of 6 in the
Flexible deadlines
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Intermediate Level
Approx. 14 hours to complete
English

Skills you will gain

Deep LearningArtificial Neural NetworkMachine LearningReinforcement Learningkeras
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 14 hours to complete
English

Offered by

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IBM

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Introduction to Neural Networks

3 hours to complete
18 videos (Total 143 min), 4 readings, 3 quizzes
18 videos
Introduction to Neural Networks - Part 12m
Introduction to Neural Networks - Part 27m
Introduction to Neural Networks - Part 35m
Introduction to Neural Networks - Part 411m
Optimization and Gradient Descent8m
Gradient Descent Notebook - Part 17m
Gradient Descent Notebook - Part 212m
Gradient Descent Notebook - Part 38m
Introduction to Neural Networks Notebook - Part 114m
Introduction to Neural Networks Notebook - Part 213m
Introduction to Backpropagation in Neural Networks - Part 14m
Backpropagation - Part 25m
Backpropagation Notebook - Part 16m
Backpropagation Notebook - Part 28m
Backpropagation Notebook - Part 36m
Other Activation Functions10m
Regularization Techniques for Deep Learning6m
4 readings
Introduction to Neural Networks Demo (Activity)2m
Introduction to Neural Networks Demo (Activity)2m
Backpropagation Demo (Activity)2m
Summary/Review10m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m
Week
2

Week 2

2 hours to complete

Neural Network Optimizers and Keras

2 hours to complete
7 videos (Total 63 min), 2 readings, 3 quizzes
7 videos
Details of Training Neural Networks7m
Data Shuffling3m
Keras10m
Keras Notebook - Part 17m
Keras Notebook - Part 213m
Keras Notebook - Part 37m
2 readings
Keras Demo (Activity)2m
Summary/Review10m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m
Week
3

Week 3

3 hours to complete

Convolutional Neural Networks

3 hours to complete
13 videos (Total 118 min), 3 readings, 4 quizzes
13 videos
Introduction to Convolutional Neural Networks - Part 17m
Introduction to Convolutional Neural Networks - Part 27m
Convolutional Settings - Padding and Stride6m
Convolutional Settings - Depth and Pooling7m
Demo CNN Notebook - Part 116m
Demo CNN notebook - Part 25m
Transfer Learning - Part 15m
Transfer Learning - Part 23m
Transfer Learning Notebook17m
Convolutional Neural Network Architectures - Part 18m
Convolutional Neural Network Architectures - Part 211m
Convolutional Neural Network Architectures - Part 310m
3 readings
Convolutional Neural Networks Demo (Activity)2m
Transfer Learning Demo (Activity)2m
Summary/Review10m
4 practice exercises
Check for Understanding5m
Check for Understanding5m
Check for Understanding5m
End of Module Quiz10m
Week
4

Week 4

2 hours to complete

Recurrent Neural Networks and Long-Short Term Memory Networks

2 hours to complete
7 videos (Total 62 min), 2 readings, 3 quizzes
7 videos
Recurrent Neural Networks (RNNs) - Part 26m
Recurrent Neural Networks Notebook - Part 113m
Recurrent Neural Networks Notebook - Part 25m
Long-Short Term Memory (LSTM) Networks11m
Gated Recurrent Unit - Part 15m
Gated Recurrent Unit - Part 28m
2 readings
Recurrent Neural Networks Demo (Activity)2m
Summary/Review10m
3 practice exercises
Check for Understanding5m
Check for Understanding5m
End of Module Quiz15m

About the IBM Machine Learning Professional Certificate

IBM Machine Learning

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