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Applied AI with DeepLearning(으)로 돌아가기

IBM의 Applied AI with DeepLearning 학습자 리뷰 및 피드백

4.5
632개의 평가
96개의 리뷰

강좌 소개

>>> 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 ibm.biz/badging....

최상위 리뷰

RC

Apr 26, 2018

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

BS

Aug 08, 2019

Gave a good hands-on with IBM Watson studio notebooks. Also a good overview of LSTM's, Keras, Predictive maintenance. Good stuff, keep it going

필터링 기준:

Applied AI with DeepLearning의 97개 리뷰 중 26~50

교육 기관: Muahammad U A

May 20, 2018

This is best course in order to know how machine learning application is scaled on different machines.

교육 기관: Ted H

Oct 14, 2019

I can't believe how much progress has been made with Neural Networks since I studied them at school!

교육 기관: Varadharajan R

Aug 07, 2019

Self motivated to learn and do the assignments all the discussions in the forum guided me thoroughly

교육 기관: Ashish P

Jul 16, 2019

This is really Amazing Course. I learn those micro things which is people rarely understand.

교육 기관: Ray H A L

Jan 15, 2019

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

교육 기관: Ivan P

Apr 06, 2018

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

교육 기관: Sven

Oct 05, 2018

Very good data science specialization covering many interesting advanced technologies!

교육 기관: Nikolas R

Apr 14, 2019

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

교육 기관: Riku S

Feb 07, 2019

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

교육 기관: Ramachandra R K

Feb 27, 2019

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

교육 기관: Saumya T

Jun 02, 2019

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

교육 기관: David J D T

Jun 19, 2019

Would love to have a deeper lecture on NLP inside Watson

교육 기관: Philipp K

Apr 30, 2018

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

교육 기관: subham m

Apr 29, 2018

Very Helpfull and Full support from the instructor

교육 기관: Yibei

Apr 29, 2018

I followed the course just fine and learned a lot.

교육 기관: MD S U

Oct 14, 2019

A great course about Deep learning with AI.

교육 기관: Khawar A A

Jan 27, 2019

Great course and superb professor Romeo. !!

교육 기관: Ngoc T L

Jan 30, 2020

Wonderful course with hands on tutorials.

교육 기관: Abdelfettah H

Dec 12, 2019

it was really helpful, thank you so much.

교육 기관: Bhaswar B

Apr 21, 2018

very effective with hands on experience

교육 기관: Reynier H

Sep 19, 2019

Curso bem completo e bem explicado!

교육 기관: Azeezur R

Oct 19, 2018

Excellent way of teaching concepts

교육 기관: Neeraj k

Jun 28, 2019

best method for understanding

교육 기관: Kylie T

Jul 07, 2019

Very well organized course

교육 기관: Carlos F C d S e S

Dec 29, 2019

It is an amazing course!