Learning
(Data Science Certification: https://www.edureka.co/data-sc....ience-r-programming- )
This Edureka video on "Best Laptops for Machine Learning" will provide you the detail and comprehensive knowledge about the best laptops that you can use for machine learning.
Below is the Link to Laptops
TensorBook: https://lambdalabs.com/deep-le....arning/laptops/tenso
MacBook: https://www.apple.com/shop/buy-mac/macbook-pro
Asus ROG Strix GL702VS: https://www.asus.com/Laptops/ROG-GL702VS/
ASUS ROG Zephyrus S: https://www.asus.com/Laptops/ROG-Zephyrus-S-GX531/
Dell XPS 15 9560: https://www.dell.com/en-in/sho....p/laptops-2-in-1-pcs
Razer Blade 15: https://www.razer.com/gaming-laptops/razer-blade
MSI GS65: https://www.msi.com/Laptop/GS65-Stealth-Thin-8RF
Acer Predator (Helios 300 and Triton 700): https://www.acer.com/ac/en/US/....content/predator-ser
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Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm
#Edureka #EdurekaBestlaptop #EdurekaDataScience
#MachineLearning #MachineLearning #DataScience
How it Works?
1. This is a 30-hour Instructor-led Online Course.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - - - - -
About the Course
Edureka's Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR
- - - - - - - - - - - - - - - - - - -
Who should go for this course?
The market for Data Analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Our Data Science Training helps you to grab this opportunity and accelerate your career by applying the techniques on different types of Data. It is best suited for:
Developers aspiring to be a 'Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'R' professionals who wish to work Big Data
Analysts wanting to understand Data Science methodologies
-------------------------------------
Why learn Data Science?
Data science is an evolutionary step in interdisciplinary fields like the business analysis that incorporate computer science, modelling, statistics and analytics. To take complete benefit of these opportunities, you need a structured training with an updated curriculum as per current industry requirements and best practices.
Besides strong theoretical understanding, you need to work on various real-life projects using different tools from multiple disciplines to gather a data set, process and derive insights from the data set, extract meaningful data from the set, and interpret it for decision-making purposes.
Additionally, you need the advice of an expert who is currently working in the industry tackling real-life data-related challenges.
.
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If you are looking for live online training, write back to us at [email protected] or call us at US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information
Welcome to a tutorial where we'll be discussing Convolutional Neural Networks (Convnets and CNNs), using one to classify dogs and cats with the dataset we built in the previous tutorial.
Text tutorials and sample code: https://pythonprogramming.net/....convolutional-neural
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Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
https://www.youtube.com/channe....l/UCNU_lfiiWBdtULKOw In this video we will understand about the max pooling layer in CNN
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In this video, Johanna discusses distinct categories of pretrained models and when you want to use one over the other. You will learn how to:
- use a model to perform a new task
- categories of pretrained models and how to choose the right one
- bring your models into MATLAB
Watch all videos in this series: https://youtube.com/playlist?l....ist=PLn8PRpmsu08oC0R
Read more about deep learning tasks on Johannaโs deep learning blog: https://bit.ly/3oTxWS6
--------------------------------------------------------------------------------------------------------
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See what's new in MATLAB and Simulink: https://goo.gl/pgGtod
ยฉ 2021 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Wide & Deep Learning (https://research.googleblog.co....m/2016/06/wide-deep- combines the power of memorization and generalization by jointly training wide linear models and deep neural networks. We've open-sourced the implementation with an easy-to-use API in TensorFlow. It's effective for generic large-scale regression and classification problems with sparse inputs, such as recommender systems, search, ranking problems and more. We hope you find it useful in your machine learning projects.
Check out our blog post with links to tutorials, code samples, and our research paper:
- Google Research Blog post: https://research.googleblog.co....m/2016/06/wide-deep-
- TensorFlow Linear Model Tutorial: https://www.tensorflow.org/tutorials/wide/
- TensorFlow Wide & Deep Learning Tutorial: https://www.tensorflow.org/tut....orials/wide_and_deep
- Research paper: http://arxiv.org/abs/1606.07792
Watch all Machine Learning videos: https://goo.gl/gnXPPw
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Hi, welcome to ColdFusion (formerly known as ColdfusTion).
Experience the cutting edge of the world around us in a fun relaxed atmosphere.
Sources:
https://qz.com/1034972/the-dat....a-that-changed-the-d
http://usblogs.pwc.com/emergin....g-technology/top-10-
https://medium.com/nurture-ai/....keeping-up-with-the-
Dancing AI: https://youtu.be/PCBTZh41Ris
https://arxiv.org/abs/1808.07371
Wifi signal mapping:
http://rfpose.csail.mit.edu/
Motion transfer Animals in video games:
http://homepages.inf.ed.ac.uk/tkomura/dog.pdf
Neural Network Arm:
https://www.youtube.com/watch?v=txHQoYKaSUk
http://vpg.cs.princeton.edu/
Nvidia super slow motion:
https://people.cs.umass.edu/~h....zjiang//projects/sup
https://www.youtube.com/watch?v=MjViy6kyiqs
Shout out to 2 minute papers who covers the latest in AI research. Check him out here:
https://www.youtube.com/channe....l/UCbfYPyITQ-7l4upoX
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**coming soon**
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In this video, I am building Deep Learning PC build from scratch. Now just a disclaimer, in order to learn deep learning you don't need to have such an expensive setup. Whatever laptop or personal computer you have should still work ok. If you have a requirements for running heavy jobs, you can utilize cloud for that. For me, NVIDIA gave 2500$ Titan RTX GPU for free and than I spent close to 1000$ for other parts to build this PC. My plan is to run some heavy deep learning jobs on this computer and I will be making videos on that in future.
Special thanks to my nephew (Harsh Patel) who helped me a lot during entire PC build process. Thanks Harsh! :)
Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses.
PC Parts
========
Processor: AMD Ryzen 7 3700 8-Core
Motherboard: Asus ROG Strix B450-F Gaming Motherboard
GPU: NVIDIA Titan RTX
SSD: Sabrent Rocket Q 1TB SSD
Power Supply: Thermaltake 650 W power supply
32 GB RAM
Cooling Graphite Thermal Pad (To keep the CPU cool)
BenQ 27 inch monitor
Thermaltake V200 Tempered Glass Case (Cabin)
Magnetic LED strip (for inside lighting)
Wireless keyboard and mouse
Website: https://codebasics.io/
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NVIDIA GeForce RTX 3050 GPU on Acer Nitro 5 vs CPU performance comparison. Thanks To Acer & NVIDIA for sharing this amazing laptop.If you're thinking of getting an RTX Laptop, then NVIDIA is also providing an amazing opportunity for Students, if you purchase an RTX Laptop then you can avail a Deep Learning Instructor-Led Certification Course from Deep Learning Institute which will give you a head start in your Deep Learning Career.
โถ Learn more about the offer here : https://amzn.to/33DqTV0
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โถ Best Book for Python : https://amzn.to/3qYThqu
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โถ Best Book for Deep Learning : https://amzn.to/30UMTGl
โถ Best Intro Book for MLOps : https://amzn.to/3AoPZmM
Equipments I use for recording the videos:
โถ 1st Laptop I use : https://amzn.to/3AqI8Fp
โถ 2nd Laptop I use : https://amzn.to/3KAiYsB
โถ Microphone : https://amzn.to/3qUPxtz
โถ Camera : https://amzn.to/3rKQsM2
โถ Mobile Phone : https://amzn.to/3nRHP1f
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โถ RGB Light : https://amzn.to/3KzLgmS
โถ Bag I use : https://amzn.to/3AsM3RZ
If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those.
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Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching.
You can find me on:
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๐ฅEdureka Tensorflow Training - https://www.edureka.co/ai-deep....-learning-with-tenso
This video on "Python for Deep Learning" will provide you with detailed and comprehensive knowledge of Deep Learning, How it came into emergence. The various subparts of Data Science, how they are related, and How Deep Learning is revolutionalizing the world we live in.
๐ดSubscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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-----------------------------------------Edureka Masters Programs---------------------------------------------------
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-----------------------------------------Edureka PGP Courses---------------------------------------------------
๐ตArtificial and Machine Learning PGP: https://bit.ly/2Ziy7b1
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---------------------------------------------------------------
How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course
Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple โHello Wordโ example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.
- - - - - - - - - - - - - -
Who should go for this course?
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Deep Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. Professionals who want to captivate and analyze Big Data
6. Analysts wanting to understand Data Science methodologies
- - - - - - - - - - - - - -
For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
This video explains Artificial Intelligence, Machine Learning, Neural Networks, Deep Learning & Computer Vision for beginners. This is the first video of our tutorial series about Artificial intelligence for beginners that gives a basic introduction to the field of AI and Computer Vision.
The first use of the phrase โArtificial Intelligenceโ: https://www.aaai.org/ojs/index.....php/aimagazine/arti
โ
Artificial Intelligence, or AI, is the science and engineering of making machines learn, think, and act like humans.
โ
Machine Learning is a sub-field of AI where machines learn directly from data instead of hand-coded rules.
โ
Deep Learning is a sub-field of Machine Learning where machines learn using Deep Neural Networks.
โ
And finally, Computer Vision is the science and engineering of interpreting visual data. Many Computer Vision problems are solved using AI, but many others are not.
โFAQ
What are artificial intelligence, machine learning, and deep learning?
What are artificial intelligence and machine vision?
What is artificial intelligence in machine learning?
Is computer vision artificial intelligence or machine learning?
โญ๏ธTime Stampsโญ๏ธ
0:00-0:34 : Introduction
0:34-0:46 : What is Artificial Intelligence
0:46-1:11 : Early AI techniques
1:11-1:28 : What is Machine Learning
1:28-2:31 : What is Neural Network
2:31-2:38 : What is Deep Learning
2:38-3:49 : What is Computer Vision
3:49-4:46 : Summary
๐ฅ๏ธ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.
๐ค Learn from the experts on AI: Computer Vision and AI Courses
YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level.๐ค
https://opencv.org/courses
#๏ธโฃ Social Media #๏ธโฃ
๐ Linkedin: https://www.linkedin.com/in/satyamall...
๐ฑ Twitter: https://twitter.com/LearnOpenCV
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๐Hashtags๐
#AI #machinelearning #deeplearning #computervision #deeplearningai #deeplearningtutorial #computerscience #opencv #machinelearningbasics #artificialintelligencecoachingcenter #learnopencv
ReLU stands for the rectified linear unit and is a type of activation function. Mathematically, it is defined as y = max(0, x). ReLU is the most commonly used activation function in neural networks, especially in CNNs. If you are unsure what activation function to use in your network, ReLU is usually a good first choice. #DeepLearning #ReLU #LeakyReLU
๐ซ๐๐๐ ๐ณ๐๐๐๐๐๐๐ ๐ https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐ด๐๐๐๐๐๐ ๐ณ๐๐๐๐๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐จ๐๐๐๐๐๐๐๐๐ ๐ฐ๐๐๐๐๐๐๐๐๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐ช๐๐๐๐
๐ช๐๐๐๐๐๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐พ๐๐๐๐๐๐๐ ๐ป๐๐๐๐๐๐๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐ซ๐๐๐ ๐ด๐๐๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐บ๐๐๐๐๐๐๐๐๐ ๐ด๐๐
๐๐๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐ฉ๐๐ ๐ซ๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐ฉ๐๐๐๐๐๐๐๐๐ ๐ป๐๐๐๐๐๐๐๐๐ ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐ฐ๐ถ๐ป ๐https://www.youtube.com/playli....st?list=PLPN-43Xehst
๐๐ธ๐ต๐ต๐ธ๐ ๐ถ๐ฎ ๐ธ๐ท ๐๐ท๐ผ๐ฝ๐ช๐ฐ๐ป๐ช๐ถ ๐ https://www.instagram.com/adhyapakh/
๐ฅ๐ฒ๐ผ๐ฒ๐ฝ ๐ถ๐ ๐๐ป๐ธ๐ฏ๐ฒ๐ต๐ฎ ๐ https://www.linkedin.com/in/reng99/
๐ข๐พ๐น๐น๐ธ๐ป๐ฝ ๐ถ๐ ๐๐ธ๐ป๐ด ๐ธ๐ท ๐๐ช๐ฝ๐ป๐ฎ๐ธ๐ท ๐ https://www.patreon.com/ranjiraj
๐๐ฒ๐ฝ๐๐พ๐ซ๐ https://github.com/ranjiGT
When Geoffrey Hinton, a researcher at Google and professor emeritus at the University of Toronto, began his work in deep learning in the 1970s, he was told he would spend his life toiling away in obscurity. Deep learning is a form of artificial intelligence that mimics the human brain. Now, four decades later, his research is revolutionizing AI. He joins The Agenda to discuss his work and what kept him going.
Credits
Research Paper: https://arxiv.org/pdf/1409.0473.pdf
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A revolution in AI is occurring thanks to progress in deep learning. How far are we towards the goal of achieving human-level AI? What are some of the main challenges ahead?
Yoshua Bengio believes that understanding the basics of AI is within every citizenโs reach. That democratizing these issues is important so that our societies can make the best collective decisions regarding the major changes AI will bring, thus making these changes beneficial and advantageous for all.
___________________________
Yoshua Bengio is one of the pioneers of Deep Learning. He is the head of the Montreal Institute for Learning Algorithms (MILA), Professor at the Universitรฉ de Montrรฉal, member of the NIPS board and co-founder of Element AI. With a PhD from McGill University (1991, Computer Science) and postdocs at MIT and AT&T Bell Labs, he holds the Canada Research Chair in Statistical Learning Algorithms, is a Senior Fellow of the Canadian Institute for Advanced Research and co-directs its program focused on deep learning. He is best known for his contributions to deep learning, recurrent nets, neural language models, neural machine translation and biologically inspired machine learning.
https://mila.umontreal.ca/en/
https://www.elementai.com/
___________________________
For more information visit http://www.tedxmontreal.com
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
โญ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while youโre typing. I've been using Kite for a few months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=krishnaik&utm_content=description-only
All Playlist In My channel
Interview Playlist: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Complete DL Playlist: https://www.youtube.com/watch?v=9jA0KjS7V_c&list=PLZoTAELRMXVPGU70ZGsckrMdr0FteeRUi
Julia Playlist: https://www.youtube.com/watch?v=Bxp1YFA6M4s&list=PLZoTAELRMXVPJwtjTo2Y6LkuuYK0FT4Q-
Complete ML Playlist :https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Complete NLP Playlist:https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Docker End To End Implementation: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Live stream Playlist: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Machine Learning Pipelines: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
Pytorch Playlist: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
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