Fuzzy Logic in Artificial Intelligence | Introduction to Fuzzy Logic & Membership Function | Edureka

**AI and Deep Learning using TensorFlow: https://www.edureka.co/ai-deep-learni... ** This Edureka Live video on "Fuzzy Logic in AI" will explain what is fuzzy logic and how it is used to find different possibilities between 0 and 1. It also explains the architecture of this logic along with real-time examples. (blog: https://www.edureka.co/blog/fuzzy-log... ) ----------------------------------------------------------- Machine Learning Podcast - http://bit.ly/2IGLYCc Complete Youtube Playlist here: https://bit.ly/2OhZEpz Deep Learning Blog Series: https://bit.ly/2xVIMe1 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV Instagram:   / edureka_learning   Slideshare: https://www.slideshare.net/EdurekaIN/ Facebook:   / edurekain   Twitter:   / edurekain   LinkedIn:   / edureka   #edureka #edurekadeeplearning #tensorflow #FuzzyLogic #FuzzyLogicinAI About the course: Edureka's Deep Learning in TensorFlow with Python Certification Training is curated by industry professionals as per the industry requirements & demands. You will master the concepts such as SoftMax function, Autoencoder Neural Networks, Restricted Boltzmann Machine (RBM) and work with libraries like Keras & TFLearn. The course has been specially curated by industry experts with real-time case studies. ------------------------------------------------------ Objectives: Deep Learning in TensorFlow with Python Training is designed by industry experts to make you a Certified Deep Learning Engineer. The Deep Learning in TensorFlow course offers: In-depth knowledge of Deep Neural Networks Comprehensive knowledge of various Neural Network architectures such as Convolutional Neural Network, Recurrent Neural Network, Autoencoders Implementation of Collaborative Filtering with RBM The exposure to real-life industry-based projects which will be executed using TensorFlow library Rigorous involvement of an SME throughout the AI & Deep Learning Training to learn industry standards and best practices ------------------------------------------------- Why should one go for this course? Deep Learning is one of the most accelerating and promising fields, among all the technologies available in the IT market today. To become an expert in this technology, you need structured training with the latest skills as per current industry requirements and best practices. Besides strong theoretical understanding, you will be working on various real-life data projects using different neural network architectures as a part of the solution strategy. Additionally, you will receive guidance from a Deep Learning expert who is currently working in the industry on real-life projects. --------------------------------------------------- Skills that you will be learning: Deep Learning in TensorFlow with Python Training will help you to become a Deep Learning Engineer. It will hone your skills by offering you comprehensive knowledge on Deep Learning in TensorFlow. It will also acquaint you with the required hands-on experience for solving real-time industry-based Deep Learning projects. During this course you will be trained by our expert instructors on: Deep Learning and TensorFlow Concepts Working with Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) Proficiency in Long short-term memory (LSTM) Implementing Keras, TFlearn, Autoencoders Implementing Restricted Boltzmann Machine (RBM) Knowledge of Neural Networks & Natural Language Processing (NLP) Using Python with TensorFlow Libraries Perform Text Analytics Perform Text Processing -------------------------------------------------- Who should go for this course? The TensorFlow with Python Training is for all the professionals who are passionate about Deep Learning and want to go ahead and make their career as a Deep Learning Engineer. It is best suited for individuals who are: Developers aspiring to be a 'Data Scientist' Analytics Managers who are leading a team of analysts Business Analysts who want to understand Deep Learning (ML) Techniques Information Architects who want to gain expertise in Predictive Analytics Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused on one industry or skill set, it can be used by anyone to enhance their portfolio. ------------------------------------------------ If you are looking for live online training, write back to us at [email protected] or call us at the US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.

What Is Fuzzy Logic? | Fuzzy Logic, Part 1
▶︎

What Is Fuzzy Logic? | Fuzzy Logic, Part 1

Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka
▶︎

Artificial Intelligence Full Course | Artificial Intelligence Tutorial for Beginners | Edureka

Machine Intelligence - Lecture 17 (Fuzzy Logic, Fuzzy Inference)
▶︎

Machine Intelligence - Lecture 17 (Fuzzy Logic, Fuzzy Inference)

Fuzzy Logic - Computerphile
▶︎

Fuzzy Logic - Computerphile

What is Fuzzy Logic? | Fuzzy Logic
▶︎

What is Fuzzy Logic? | Fuzzy Logic

Object Oriented Programming | OOPS in Python | OOPS Tutorial | Intellipaat
▶︎

Object Oriented Programming | OOPS in Python | OOPS Tutorial | Intellipaat

RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source
▶︎

RL for Agents Workshop - Deep Dive on Training Agents with RL and Open Source

Data Modeling in Power BI | Learn Data Modeling in Power BI | Edureka Live
▶︎

Data Modeling in Power BI | Learn Data Modeling in Power BI | Edureka Live

Don't learn AI Agents without Learning these Fundamentals
▶︎

Don't learn AI Agents without Learning these Fundamentals

RAG Crash Course for Beginners
▶︎

RAG Crash Course for Beginners

Data Science Made Easy with Statistics & Probability | Data Science Roadmap 2026  | Edureka Live
▶︎

Data Science Made Easy with Statistics & Probability | Data Science Roadmap 2026 | Edureka Live

Fuzzy Logic in AI Explained for Beginners | Fuzzy Logic in Artificial Intelligence | Scaler
▶︎

Fuzzy Logic in AI Explained for Beginners | Fuzzy Logic in Artificial Intelligence | Scaler

Alexa+ Powered by Generative AI | Next-Gen Alexa+ with Agentic AI | AI-powered Assistant | Edureka
▶︎

Alexa+ Powered by Generative AI | Next-Gen Alexa+ with Agentic AI | AI-powered Assistant | Edureka

AI in Manufacturing - 10 Real Use Cases with Examples
▶︎

AI in Manufacturing - 10 Real Use Cases with Examples

Logic 1 - Overview: Logic Based Models | Stanford CS221: AI (Autumn 2021)
▶︎

Logic 1 - Overview: Logic Based Models | Stanford CS221: AI (Autumn 2021)

System Design Course – APIs, Databases, Caching, CDNs, Load Balancing & Production Infra
▶︎

System Design Course – APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

How AI Cracked the Protein Folding Code and Won a Nobel Prize
▶︎

How AI Cracked the Protein Folding Code and Won a Nobel Prize

AI & ML Full Course 2026 | Complete Artificial Intelligence and Machine Learning Tutorial |  Edureka
▶︎

AI & ML Full Course 2026 | Complete Artificial Intelligence and Machine Learning Tutorial | Edureka

How To Think SO CLEARLY People Assume You're A Genius
▶︎

How To Think SO CLEARLY People Assume You're A Genius

ML Foundations for AI Engineers (in 34 Minutes)
▶︎

ML Foundations for AI Engineers (in 34 Minutes)