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This video on Artificial Intelligence and Deep Learning full course will help us understand the basics of artificial intelligence and Deep Learning and the different algorithms used to build AI models.
00:00:00 Basics of AI
00:49:29 Future of AI
00:58:54 AI of Detail
01:11:08 What is Deep Learning
01:21:50 Neural Networks
03:02:52 Tensorflow Object Detection
04:41:42 Recurrent Neural Network
06:34:06 What are GANs
06:43:24 Keras Tutorial
09:27:22 Deep learning Interview Questions
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What is Artificial Intelligence?
Artificial Intelligence is the process of building intelligent machines from vast volumes of data. Systems learn from past learning and experiences and perform human-like tasks. It enhances the speed, precision, and effectiveness of human efforts. AI uses complex algorithms and methods to build machines that can make decisions on their own. Machine Learning and Deep learning forms the core of Artificial Intelligence.
What is Deep Learning?
Deep learning can be considered as a subset of machine learning. It is a field that is based on learning and improving on its own by examining computer algorithms. While machine learning uses simpler concepts, deep learning works with artificial neural networks, which are designed to imitate how humans think and learn. Until recently, neural networks were limited by computing power and thus were limited in complexity. However, advancements in Big Data analytics have permitted larger, sophisticated neural networks, allowing computers to observe, learn, and react to complex situations faster than humans. Deep learning has aided image classification, language translation, speech recognition. It can be used to solve any pattern recognition problem and without human intervention.
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