Epoch in Neural Network|neural network example step by step |Neural network end to end example data
25.7 هزار بار بازدید -
4 سال پیش
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Epoch in Neural Network|neural network
Epoch in Neural Network|neural network example step by step |Neural network end to end example data
#NeuralNetworkEpoch #NeuralnetworkbackPropagation #UnoldDataScience
Hello All,
Welcome to Unfold data science, this is Aman and I am a data scientist. In this video I explain every step of neural network with data. I explain how forward propagation and backward propagation works. I explain how weights are adjusted using gradient descent.Below questions are answered this video:
1. How neural network work?
2. Neural Network example step by step
3. How forward propagation works in neural network
4. How backward propagation works in neural network
5. How neural network adjusts weight
6. What is a neural network epoch?
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
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Watch Introduction to Data Science full playlist here : Data Science In 15 Minutes | Data Sci...
Watch python for data science playlist here:
Python Basics For Data Science(Dataty...
Watch statistics and mathematics playlist here :
Measures of Central Tendency|Statisti...
Watch End to End Implementation of a simple machine learning model in Python here:
How Does Machine Learn|How Machine Le...
Learn Ensemble Model, Bagging and Boosting here:
Introduction to Ensemble learning|Wha...
Access all my codes here:
https://drive.google.com/drive/folder...
Have question for me? Ask me here : https://docs.google.com/forms/d/1ccgl...
My Music: https://www.bensound.com/royalty-free...
#NeuralNetworkEpoch #NeuralnetworkbackPropagation #UnoldDataScience
Hello All,
Welcome to Unfold data science, this is Aman and I am a data scientist. In this video I explain every step of neural network with data. I explain how forward propagation and backward propagation works. I explain how weights are adjusted using gradient descent.Below questions are answered this video:
1. How neural network work?
2. Neural Network example step by step
3. How forward propagation works in neural network
4. How backward propagation works in neural network
5. How neural network adjusts weight
6. What is a neural network epoch?
About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.
Join Facebook group :
https://www.facebook.com/groups/41022...
Follow on medium : Medium: amanrai77
Follow on quora: https://www.quora.com/profile/Aman-Ku...
Follow on twitter : @unfoldds
Get connected on LinkedIn : LinkedIn: aman-kumar-b4881440
Follow on Instagram : unfolddatascience
Watch Introduction to Data Science full playlist here : Data Science In 15 Minutes | Data Sci...
Watch python for data science playlist here:
Python Basics For Data Science(Dataty...
Watch statistics and mathematics playlist here :
Measures of Central Tendency|Statisti...
Watch End to End Implementation of a simple machine learning model in Python here:
How Does Machine Learn|How Machine Le...
Learn Ensemble Model, Bagging and Boosting here:
Introduction to Ensemble learning|Wha...
Access all my codes here:
https://drive.google.com/drive/folder...
Have question for me? Ask me here : https://docs.google.com/forms/d/1ccgl...
My Music: https://www.bensound.com/royalty-free...
4 سال پیش
در تاریخ 1399/03/02 منتشر شده
است.
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