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Artificial Intelligence and Deep learning techniques (2024) - OneDDL - 06-24-2024
![[Image: 508bf843643512895c7d2456262c8096.jpeg]](https://i123.fastpic.org/big/2024/0624/96/508bf843643512895c7d2456262c8096.jpeg)
Free Download Artificial Intelligence and Deep learning techniques (2024)
Published 6/2024
Created by Saravanan T R
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 12 Lectures ( 2h 56m ) | Size: 1.63 GB
Searching Techniques, Knowledge and Reasoning Approaches, Deep Learning Techniques
What you'll learn:
Understand the search technique procedures applied to real world problems
Represent various knowledge representation techniques to solve complex AI problems
Understand Deep neural network and layered learning approach with real world Scenario problems
Gain knowledge about various deep learning algorithm
Requirements:
You will learn every thing you need to know , Python knowledge needed for implementation
Description:
The course Artificial Intelligence and Deep learning techniques provides the ,Knowledge on problem formulation and solving in AI and ML for real world situation,Impress interviewers by showing an understanding of the Knowledge and Reasoning Approaches with the learning techniques,exemplify the uninformed and informed search technique procedures for real world problems,Scenario based learning for all Artificial Intelligence and Deep learning techniques,Deep knowledge about Learning in Deep Learning and Neural Networks,Provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. Build your deep learning foundations and learn effective applications,Work on curated industry Projects in cliennt side as a industry Expert, Gain knowledge in problem formulation and building intelligent agents, Understand the search technique procedures applied to real world problems, Understand the types of logic and knowledge representation schemes, Acquire knowledge in planning and learning algorithms, Gain knowledge in AI Applications and advances in Artificial Intelligence, Build and train deep neural networks, identify key architecture parameters, implement vectorized neural networks and deep learning to applications, Train test sets, analyze variance for DL applications, use standard techniques and optimization algorithms, and build neural networks, Build a goodl portfolio with entire Artificial Intelligence and Deep learning techniques
Who this course is for:
Beginner python developer to know about Artificial Intelligence and Deep learning techniques
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