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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,
🔖 Hashtags 🔖
#gradientdescent #gradientdescentneuralnetwork #gradientdescentdeeplearning #gradientdescentalgorithm #gradientdescentpython
Prerequisites for this series:
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,
🔖 Hashtags 🔖
#gradientdescent #gradientdescentneuralnetwork #gradientdescentdeeplearning #gradientdescentalgorithm #gradientdescentpython
Prerequisites for this series:
Gradient descent, how neural networks learn | Chapter 2, Deep learning
Backpropagation And Gradient Descent In Neural Networks | Neural Network Tutorial | Simplilearn
Gradient Descent in 3 minutes
Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
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Gradient Descent For Neural Network | Deep Learning Tutorial 12 (Tensorflow2.0, Keras & Python)
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What is backpropagation really doing? | Chapter 3, Deep learning
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Gradient Descent in Neural Nets – A Simple Guide to ANN Learning
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