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Applied AI with DeepLearning(으)로 돌아가기

IBM 기술 네트워크의 Applied AI with DeepLearning 학습자 리뷰 및 피드백

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>>> By enrolling in this course you agree to the End User License Agreement as set out in the FAQ. Once enrolled you can access the license in the Resources area <<< This course, Applied Artificial Intelligence with DeepLearning, is part of the IBM Advanced Data Science Certificate which IBM is currently creating and gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Then we introduce the most popular DeepLearning Frameworks like Keras, TensorFlow, PyTorch, DeepLearning4J and Apache SystemML. Keras and TensorFlow are making up the greatest portion of this course. We learn about Anomaly Detection, Time Series Forecasting, Image Recognition and Natural Language Processing by building up models using Keras on real-life examples from IoT (Internet of Things), Financial Marked Data, Literature or Image Databases. Finally, we learn how to scale those artificial brains using Kubernetes, Apache Spark and GPUs. IMPORTANT: THIS COURSE ALONE IS NOT SUFFICIENT TO OBTAIN THE "IBM Watson IoT Certified Data Scientist certificate". You need to take three other courses where two of them are currently built. The Specialization will be ready late spring, early summer 2018 Using these approaches, no matter what your skill levels in topics you would like to master, you can change your thinking and change your life. If you’re already an expert, this peep under the mental hood will give your ideas for turbocharging successful creation and deployment of DeepLearning models. If you’re struggling, you’ll see a structured treasure trove of practical techniques that walk you through what you need to do to get on track. If you’ve ever wanted to become better at anything, this course will help serve as your guide. Prerequisites: Some coding skills are necessary. Preferably python, but any other programming language will do fine. Also some basic understanding of math (linear algebra) is a plus, but we will cover that part in the first week as well. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. To find out more about IBM digital badges follow the link

최상위 리뷰


2020년 10월 23일

I learned many things from this course. However, I think in some points it could have been instructed much better. But all in all, it is a very worthy course for the price offered. Thanks a lot!


2018년 4월 25일

It was really great learning with coursera and I loved the course. The way faculty teaches here is just awesome as they are very much clear and helped a lot while learning this coursea

필터링 기준:

Applied AI with DeepLearning의 186개 리뷰 중 51~75

교육 기관: RAY H A L

2019년 1월 14일

No easy...But was supprise to have got enrolle for the course: Applied AI with DeepLearning

교육 기관: Ivan P

2018년 4월 6일

This course presents a good overview of various practical approaches used in nowadays AI.

교육 기관: YASSINE F

2022년 7월 16일

Great work

About the assignments it will be better if you use jupyter workspace instead

교육 기관: Sven

2018년 10월 5일

Very good data science specialization covering many interesting advanced technologies!

교육 기관: Kevin R L

2020년 4월 9일

course content is great. the teachers make understanding the topics easier for us

교육 기관: Chris S

2020년 2월 28일

Very informatic class, it is valuable to remember the details again and again

교육 기관: Nikolas R

2019년 4월 14일

The course covers a broad range of tools to deploy deep learning algorithms.

교육 기관: prithvish k c

2020년 5월 9일

completely related and course material and projects are great. Great course

교육 기관: Dasun K

2020년 4월 18일

Labs and codes demonstrated are very useful. Covers vast knowladge area.

교육 기관: Nikhila M B

2020년 5월 12일

Was very helpful in understanding deep learning with neural networks

교육 기관: Riku S

2019년 2월 7일

A nice intro to TensorFlow, Keras, SystemML, DL4J and Apache Spark!

교육 기관: Ramachandra R K

2019년 2월 26일

Great course with several hands-on assignments. Highly recommend.

교육 기관: Aditya V

2020년 4월 17일

Awesome course and amazing content to start with deep learning.

교육 기관: Saumya T

2019년 6월 1일

Very good course for learning Neural Network. Well explained!!!

교육 기관: Jose H C

2020년 7월 19일

It is definitely an advance class with excellent examples

교육 기관: Farrukh N A

2020년 6월 11일

Good Course, Best Part is Parallelism of Model Execution

교육 기관: David T

2019년 6월 19일

Would love to have a deeper lecture on NLP inside Watson

교육 기관: Philipp K

2018년 4월 30일

I have learned so much of of this course. Keep it up!!

교육 기관: Muhammad M A S

2020년 5월 25일

Amazing course really polish my deep learning skills

교육 기관: ALWIN R M 1

2020년 4월 29일

Really insightful and advanced deep learning course

교육 기관: Subham M

2018년 4월 29일

Very Helpfull and Full support from the instructor

교육 기관: Yibei

2018년 4월 28일

I followed the course just fine and learned a lot.

교육 기관: MD S U

2019년 10월 14일

A great course about Deep learning with AI.

교육 기관: Khawar A A

2019년 1월 27일

Great course and superb professor Romeo. !!

교육 기관: Ngoc T L

2020년 1월 30일

Wonderful course with hands on tutorials.