Neural Network Tutorial | What Is A Neural Network | Intellipaat
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- เผยแพร่เมื่อ 8 ก.ย. 2024
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In this neural network tutorial you will learn what is a neural network, how neural network works, what are activation functions, neural network python tensorflow, neural network python keras, how deep learning frameworks works in detail.
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📝This neural network tutorial python video helps you to learn following topics:
What is Neural Network? - 0:55
Artificial Neural Networks - 1:43
Topology of Neural Network - 2:52
Neurons: How they work? - 3:45
Artificial Neurons - 4:21
Perceptron - How does it work? - 5:37
Why do we need Weights? - 6:27
Why do we need Activation Functions? - 6:56
Activation Function - 8:08
Types of Activation Functions - 8:30
Training a Perceptron - 11:16
Perceptron Training Algorithm - 12:19
Benefits of using Artificial Neural Network - 13:08
Deep Learning Frameworks - 15:06
Neural Network Python TensorFlow - 15:20
Neural Network Python Keras - 16:16
PyTorch - 16:43
PyTorch - 16:43
DL4J - 17:18
MXNet - 17:58
What are Tensors? - 18:37
Tensor Rank - 19:03
Computational Graph - 19:34
Program Elements in TensorFlow - 20:32
Constants - 20:44
Placeholder - 29:01
Variable - 35:03
Introduction to Neural Networks - 41:27
Basic Artificial Neuron - 49:51
Feed Forward Neural Network - 1:10:42
Multi Layer Perceptron - 1:28:58
Back Propagation - 1:36:25
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Please make a video on computer vision and some machine learning projects.
Hi Tushar, the team is working on these videos and it will be uploaded very soon. Stay tuned!
You are doing a great work ......thanks
Glad you liked it. Keep learning with Intellipaat. :)
neural networks and machine learning!
Hi, please watch this :th-cam.com/video/4gqZLajDWh8/w-d-xo.html
Hello,
I am Samanjana, first of all, it was a really good and informative video, Thank you so much for putting it up on TH-cam.
Well, I have a small confusion, regarding the back propagation. If an error is noted at the final output, like Delta, so we back propagate and optimize the weights in the previous layer. My confusion is: if there are two hidden layers before the final Output layer say L1 and L2, during back propagation, does the weights of the L2 get optimized alone in order to fix the error?? if not, how does it go another layer back to L1 and optimize the weights that are associated with the outputs from L1?
Should I learn CNN and RNN for data science. Please respond.
Hello can you please share the datasets you used for artificial neural network? Please kindly reply
Neural network and Artificial neural network both are same or different ?
Both are different. It depends on the usage.
@@Intellipaat Thanks
Can you explain what HADOOP is ??
Hi Rishabh, please watch hadoop full course video: th-cam.com/video/29O3CCYOzic/w-d-xo.html
@@Intellipaat thank you so much
How may I get the ppt can you please provide us??
Sure!! @Afjalur Rahman
Ek channel hindi main bhee bana lo bhaiya
It is in progress brother. :)
@@Intellipaatबहुत बहुत धन्यवाद
Improve Audio quality...
Thanks for pointing out Deepak. Will definitely improve the audio quality from the next videos. :)
@Intellipaat "NameError: name 'sess' is not defined
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This error showing,what should i do now?
i got stock in 40:25