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🔥Intellipaat Artificial Intelligence course: https://intellipaat.com/artificial-intelligence-deep-learning-course-with-tensorflow/
In this deep learning tutorial for beginners video you will learn what is deep learning, what is neural network and topology of neural network, how to do back propagation. You will also be working on various datasets to have a practical knowledge on deep learning.
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📰 Interested to learn Deep Learning still more? Please check similar blog here: https://intellipaat.com/blog/power-of-deep-learning-alphago-vs-lee-sedol-case-study/

📝Following topics are covered in this deep learning training video:
Deep Learning – 00:43
Application of Deep Learning – 3:06
How Deep Learning Works? – 4:11
What is Neural Network? – 5:34
Artificial Neural Network – 6:26
Topology of a Neural Network – 7:35
Neurons: How they work? – 8:28
Artificial Neurons – 9:03
Perceptron – How does it work? – 10:06
Why do we need Weights? – 10:59
Why do we need Activation Functions? – 11:25
Activation Function – 12:37
Types of Activation Function – 13:00
Training a Perceptron – 15:47
Perceptron Training Algorithm – 16:49
Benefits of using Artificial Neural Network – 17:40
Deep Learning Frameworks – 19:24
TensorFlow – 19:39
Keras – 20:35
PyTorch – 21:03
DL4J – 21:37
MXNet – 22:16
What are Tensors? – 22:57
Tensor Rank – 23:22
Computational Graph – 23:53
Program Elements in TensorFlow – 24:53
Constant – 25:15
Placeholder – 33:09
Variable – 39:10
Neuron – Human Nervous System – 51:02
Basic Artificial Neuron – 53:57
Feed Forward Neural Network – 1:13:17
Multi Layer Perceptron – 1:33:01
Back Propagation – 1:46:23
Image Library in Python – 2:19:39
The MNIST Database – 2:43:30

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