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Avis et commentaires pour d'étudiants pour Applied AI with DeepLearning par IBM

1,067 évaluations
181 avis

À propos du cours

>>> 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

Meilleurs avis


23 oct. 2020

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!


25 avr. 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

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51 - 75 sur 184 Avis pour Applied AI with DeepLearning

par RAY H A L

14 janv. 2019

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

par Ivan P

6 avr. 2018

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

par Sven

5 oct. 2018

Very good data science specialization covering many interesting advanced technologies!

par Kevin R L

9 avr. 2020

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

par Chris S

28 févr. 2020

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

par Nikolas R

14 avr. 2019

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

par prithvish k c

9 mai 2020

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

par Dasun K

18 avr. 2020

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

par Nikhila M B

12 mai 2020

Was very helpful in understanding deep learning with neural networks

par Riku S

7 févr. 2019

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

par Ramachandra R K

26 févr. 2019

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

par Aditya V

17 avr. 2020

Awesome course and amazing content to start with deep learning.

par Saumya T

1 juin 2019

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

par Jose H C

19 juil. 2020

It is definitely an advance class with excellent examples

par Farrukh N A

11 juin 2020

Good Course, Best Part is Parallelism of Model Execution

par David T

19 juin 2019

Would love to have a deeper lecture on NLP inside Watson

par Philipp K

30 avr. 2018

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

par Muhammad M A S

25 mai 2020

Amazing course really polish my deep learning skills

par ALWIN R M 1

29 avr. 2020

Really insightful and advanced deep learning course

par Subham M

29 avr. 2018

Very Helpfull and Full support from the instructor

par Yibei

28 avr. 2018

I followed the course just fine and learned a lot.

par MD S U

14 oct. 2019

A great course about Deep learning with AI.

par Khawar A A

27 janv. 2019

Great course and superb professor Romeo. !!

par Ngoc T L

30 janv. 2020

Wonderful course with hands on tutorials.

par Abdelfettah H

12 déc. 2019

it was really helpful, thank you so much.