Artificial Intelligence Tutorial | Artificial Intelligence Course | Intellipaat – YouTube

Posted By Aprit Dixit on 21 Dec 2019 in YouTube

➡In this artificial intelligence tutorial you will learn end to end about ai and it’s vast domain. So this artificial intelligence course is an exhaustive tutorial for you to get started with ai.
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?Following topics are covered in this video:
0:00 – Artificial Intelligence tutorial
01:41 – Dartmouth conference
04:23 – What is Artificial Intelligence
07:30 – Timeline of Artificial Intelligence
19:00 – Types of Artificial Intelligence
21:47 – What makes Artificial Intelligence, Intelligent?
24:42 – Fun fact about Artificial Intelligence
26:03 – Dark Side of Artificial Intelligence
27:15 – Myths vs Facts of Artificial Intelligence
30:30 – Domains of Artificial Intelligence
32:50 – Final thoughts on Artificial Intelligence
33:26 – What is Intelligence?
34:35 – What makes Humans Intelligent?
35:45 – Difference between AI & Ml & Deep Learning
38:05 – Machine Learning real time Applications
41:05 – What is Machine Learning
41:40 – How does Machine Learn?
42:45 – Types of Machine Learning
49:33 – Machine Learning Algorithms
50:04 – Limitations of Machine Learning
51:40 – Introduction to Deep Learning
54:05 – Application of Deep Learning
55:15 – How deep Learning Works?
56:34 – What is a Neural Network?
57:25 – Artificial Neural Network(ANN)
58:35 – Topology of a Neural Network
59:28 – How do Neurons work?
01:00:03 – Artificial Neurons in detail
01:01:07 – How does the Perceptron work?
01:02:00 – Concept of weights
01:02:25 – Why do we need Activation Functions?
01:04:00 – Types of Activation Functions
01:06:47 – Training a Perceptron
01:07:49 – Perceptron Training Algorithm
01:08:38 – Benefits of using Artificial Neural Network
01:10:24 – Deep Learning Frameworks
01:13:55 – What are Tensors?
01:14:53 – Computational Graph
01:15:51 – Program Elements in TensorFlow
01:16:15 – Working on constants in Jupiter note book
01:24:10 – Working on Placeholders in Jupiter note book
01:30:12 – Working on Variables in Jupiter note book
01:36:34 – Introduction to Neural Networks in Jupiter notebook
02:23:55 – Multi layer Perceptron Architecture
03:09:40 – Working in TensorFlow
04:21:18 – Convolutional Neural Network (CNN)
05:08:23 – Demo on CNN
06:19:34 – Face Recognition Project in Artificial Intelligence
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