Tensorflow Tutorial for Beginners | Tensorflow on Neural Networks | Intellipaat
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In this tensorflow tutorial for beginners video you will learn tensorflow concepts like what are tensors, what are the program elements in tensor flow, what are constants & placeholders in tensorflow python, how variable works in placeholder and a demo on MNIST. There's a short quiz as well at the end to test your knowledge.
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This tensorflow tutorial python video helps you to learn following topics:
01:00 - Artificial Intelligence Concept
03:13 - Deep Learning concept
04:38 - Why Artificial Intelligence?
08:20 - Importance of Artificial Intelligence
08:54 - Applications of Artificical intelligence
10:38 - What is Intelligence
13:00 - What is AI, ML, Deep Learning?
15:36 - Examples of Machine Learining
18:30 - Introduction to Machine Learning
20:14 - Types of Machine Learning
27:15 - Machine Learning Algorithms
27:50 - Limitations of Machine learning
29:20 - Introduction to Deep Learning
31:50 - Applications of Deep Learning
33:00 - How Deep Learning Works?
34:21 - What is a Neural Network?
36:22 - Topology of a Neural Network
37:46 - Artificial Neurons
48:06 - Deep Learning Frame Work
51:37 - What are Tensors?
53:40 - Program Elemenets in the Tensorflow
54:00 - Working on Constants in Jupiter
01:02:25 - Working on Placeholder in Jupiter
01:08:12 - Working on Variable in Jupiter
01:14:15 - Theory of Neural Network
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