Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.
このコースはIBM AI Engineering プロフェッショナル認定に属します。
Introduction to Deep Learning & Neural Networks with Keras
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このコースについて
93,824 最近の表示
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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6の3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
約9時間で修了
英語
字幕：英語
習得するスキル
Deep LearningArtificial Neural NetworkArtificial Intelligence (AI)Machine Learningkeras
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6の3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
約9時間で修了
英語
字幕：英語
提供：
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
シラバス - 本コースの学習内容
2時間で修了
Introduction to Neural Networks and Deep Learning
In this module, you will learn about exciting applications of deep learning and why now is the perfect time to learn deep learning. You will also learn about neural networks and how most of the deep learning algorithms are inspired by the way our brain functions and the neurons process data. Finally, you will learn about how neural networks feed data forward through the network.
2時間で修了
4件のビデオ （合計17分）, 1 reading, 2 quizzes
4件のビデオ
Welcome2 分
Introduction to Deep Learning4 分
Neurons and Neural Networks3 分
Artificial Neural Networks5 分
1件の学習用教材
Syllabus10 分
1の練習問題
Introduction to Neural Networks and Deep Learning30 分
1時間で修了
Artificial Neural Networks
In this module, you will learn about the gradient descent algorithm and how variables are optimized with respect to a defined function. You will also learn about backpropagation and how neural networks learn and update their weights and biases. Futhermore, you will learn about the vanishing gradient problem. Finally, you will learn about activation functions.
1時間で修了
4件のビデオ （合計22分）
1の練習問題
Artificial Neural Networks30 分
3時間で修了
Keras and Deep Learning Libraries
In this module, you will learn about the diifferent deep learning libraries namely, Keras, PyTorch, and TensorFlow. You will also learn how to build regression and classification models using the Keras library.
3時間で修了
3件のビデオ （合計16分）
1の練習問題
Keras and Deep Learning Libraries30 分
2時間で修了
Deep Learning Models
In this module, you will learn about the difference between the shallow and deep neural networks. You will also learn about convolutional networks and how to build them using the Keras library. Finally, you will also learn about recurrent neural networks and autoencoders.
2時間で修了
4件のビデオ （合計17分）
4件のビデオ
Convolutional Neural Networks8 分
Recurrent Neural Networks2 分
Autoencoders2 分
1の練習問題
Deep Learning Models30 分
レビュー
4.7
INTRODUCTION TO DEEP LEARNING & NEURAL NETWORKS WITH KERAS からの人気レビュー
ABによりMar 15, 2020
Interesting course. Forward propagation, gradient descent, backward propagation, the vanishing gradient problem, (+ Regression, Classification, and CNN with Keras) explained clearly.
FBによりMar 24, 2020
It is a really good course.\n\nThe labs could have had more for us to do, much of the labs was already implemented.\n\nStill, great introduction to the proposed subjects.
ASによりMar 19, 2020
A good course. Could be better if it was explained how to select the optimal number of layers and nodes. This was not covered and explained anywhere. Overall it was good.
MCによりFeb 19, 2020
Best suited for beginner in Deep learning with Keras. Good content, hands on experience with Jupiter notebook with IBM Developer tool. Worked Exercise code for CNN & RNN.
SUによりMar 10, 2020
try to add more case study problems and solve it on lectures so that we can understand how to start (initialize) the coding part when we receive any real world problem.
RSによりFeb 20, 2020
I took this course for understanding the TensorFlow properly. Now I am in the situation to understand all the frameworks. Thanks a lot for providing me this free course
BJによりOct 9, 2019
Good practical examples for ANN. It could be improved the theoretical part and compare better the architecture of the networks with the algorithms and code for Keras
ASによりDec 15, 2019
Queries are not getting resolved in the discussion forum. So, instructors should participate in the discussion forum to resolve such queries.
VGによりFeb 1, 2020
This course is a piece of art. I see how carefully and precise course was build and recorded. Thank you for awesome experience!
KHによりFeb 25, 2020
This course was great because first it covered theory then goes to code. And the algorithms are taught by the teacher so well.
LDによりSep 7, 2019
The teaching is not deep enough to solve the Week 5 assignment, please take note you need to plumb in other Keras courses.
CHによりDec 9, 2019
Really enjoyed the class, felt that the level of challenge was appropriate. Thanks for making this class available!
VPによりFeb 25, 2020
The course contents and labs are very informative and explains the basic concepts throughly.
GKによりOct 2, 2019
Very intractive and benificial course for me .Thank you coursera and IBM for this course
RCによりNov 9, 2019
I really enjoyed this course, specially for all the labs and assignments. Thanks much!
DUによりJan 15, 2020
Very good course to start with Neural Networks & Keral lib. Recommend for beginners.
ATによりSep 27, 2019
Details very well covered. I found it very much interesting and well explained.
PによりNov 5, 2019
It,s a very good course to get grip on keras and artificial neural networks.
JPによりOct 4, 2019
Excellent course that is very well done. Final project was super hard.
MNによりSep 25, 2019
Super Class course ever I see. Thanks for give such best production.
IBM AI Engineering プロフェッショナル認定について
The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.
You will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.
You will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.
By the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.
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