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Artificial Intelligence and Deep learning techniques
Rating: 4.1 out of 5(138 ratings)
1,083 students

Artificial Intelligence and Deep learning techniques

Searching Techniques, Knowledge and Reasoning Approaches, Deep Learning Techniques
Created bySaravanan T R
Last updated 6/2024
English

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

Course content

3 sections14 lectures3h 23m total length
  • What is Artificial Intelligence9:21
  • Introduction to AI techniques20:38
  • Problem solving using AI10:06

    Explore problem solving in AI by analyzing problem statements with their mathematical background, applying algorithms like minimax, and defining states, actions, goals, operators, and representations.

  • Problem Solving in AI Quiz
  • Basic Relationship of AI,ML.DL and Data Science18:10
  • Introduction to Agent13:48

    An agent perceives the environment with sensors, processes input, and acts through actuators in a perception cycle; robotic and software agents map input to output.

  • Types of Agent with Example26:07

    The lecture categorizes agents into five types—table driven, simple reflex, model based reflex, goal based, and utility based—and explains their environments, sensors, actuators, and percept history.

  • Agent and Types Quiz

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