Gradient Descent For Neural Network | Deep Learning Tutorial 12 (Tensorflow2.0, Keras & Python)

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Gradient descent is the heart of all supervised learning models. It is important to understand this technique if you are pursuing a career as a data scientist or a machine learning engineer. In this video we will see a very simple explanation of what a gradient descent is for a neural network or a logistic regression (remember logistic regression is a very simple single neuron neural network). We will than implement gradient descent from scratch in python.
In my machine learning tutorial series I already have a video on gradient descent but that one is on linear regression whereas this video is for logistic regression for neural network. Here is the link of my linear regression GD video,

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#gradientdescent #gradientdescentneuralnetwork #gradientdescentdeeplearning #gradientdescentalgorithm #gradientdescentpython

Prerequisites for this series:   

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people are just wasting money in Online courses this man has gave you excellent tutorial.

prashantmahajan
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One of the great playlist on deep learning.. You make it so simple

hetthummar
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My First comment on you tube, what a great explanation. I spent more than one lakh to get certification on AIML. But ultimately learning concepts from you. your teaching is like where weight (knowledge) is improved but loss (fee) is zero.

SaiKrishna-ikud
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Totally deserve a lot of recognition since the concepts are explained so nicely and it gives a chance to code along too.

aditipanigrahi
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i watched more than 30 videos on this concept... none of them filled confidence in me in this concept. Thanks sir...

deepakavva
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Hi Dhaval, This is a great explanation, can't thank you enough for the effort you are putting in to help the data science community.

adityanarayangupta
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Man, you just taught me so well.
I have trained few models and try some machine learning projects before watching your videos.
But the truth is I didn't really spend time on "really understanding" the math in machine learning.
Today I finally really understand it and thank you very much .
Great series, I promise that I will finish as much as I can about your machine learning videos.

zysftvf
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The best thing on YouTube for a data science learner is your channel. Thank you for making these videos which are like holy scriptures for learners out here. I am blown out by your level of simplicity in making these daunting topics appear so easy to understand. You never disappoint in helping us to grasp these concepts. Big thanks Dhaval.

nayture_man
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This is one of the best explanation over gradient descent. Thanks a lot Sir

tps
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Hi, great class. Congratulations from Brazil-Teresina-PI

OceanAlves
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This summed a bachelors degree of knowledge, thx

jorgenb
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When I started deep learning I don't understand the logic behind the formula €(weights*input+bias)..thank you sir❤️❤️

SKCS-uysd
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I never seen such simplicity of teaching like you Thanks 👍

vijaytakbhate
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yarrrr hats off to this man who gets into such details and implementations

ahsanali
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Your teaching skills are awesome. Thank You for making these great tutorials

sakethamargani
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Great Explanation....never though ill understand Gradient Descent so well and that too with code....you showed the very granular explanation of how we can write python code to get same output as model....that's awesome...you are increasing confidence in many ppl...great work.. Tks a lot...

yogeshbharadwaj
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The way of teaching is awesome. Great explanation. Your effort is appreciated

mohitagrawal
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Actually, your course is one of the best deep learning tutorials ever. love it. How can I download the data insurance for training in my own jupyter notebook?

yasamannazemi
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Loved the way you implemented gradient decent yourself, I started feeling ML :-)

dilipkumark
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Nice, the initial iteration using one value at a time is very good. Loved it.

techsavy