3Blue1Brown
Gradient descent, how neural networks learn | Deep learning, chapter 2
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
3Blue1Brown
Gradient descent, how neural networks learn: Deep learning - Part 2 of 4
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
3Blue1Brown
Gradient descent, how neural networks learn | Chapter 2, deep learning
An overview of gradient descent in the context of neural networks. This is a method used widely throughout machine learning for optimizing how a computer performs on certain tasks.
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Financial Analysis - Build a ChatGPT Pairs Trading Bot - How to Code Yourself (Part 1)
In this video, you will learn to write Python code from scratch for financial analysis with ChatGPT using pairs trading strategies. This video will cover fundamental coding concepts such as data types, variables, loops, conditional...
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Fundamentals of Neural Networks - Gradient Descent
This video explains the optimization problem using the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...
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Fundamentals of Neural Networks - Backward Propagation
This video explains backward propagation, which is defined by the optimization problem called the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
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Deep Learning - Crash Course 2023 - Program Overview
In this video, we will discuss our program goal that we will be building in the next video. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with...
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Deep Learning - Crash Course 2023 - Gradient Descent
In this video, you will learn about gradient descent. This clip is from the chapter "Sigmoid Neuron" of the series "Deep Learning - Crash Course 2023".In this section, we will begin our journey with Sigmoid Neuron.
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Deep Learning - Artificial Neural Networks with Tensorflow - Momentum
In this video, you will learn about momentum. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive deeper into...
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Deep Learning - Artificial Neural Networks with Tensorflow - Stochastic Gradient Descent
In this video, you will learn about stochastic gradient descent. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Gradient Descent
In this video, we will get introduced to gradient descent. This clip is from the chapter "In-Depth: Gradient Descent" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this optional section, we will dive...
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Deep Learning - Artificial Neural Networks with Tensorflow - Code Preparation (Classification Theory)
In this video, we will take a crash course in linear classification for TensorFlow 2.0. This clip is from the chapter "Machine Learning and Neurons" of the series "Deep Learning - Artificial Neural Networks with TensorFlow".In this...
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Deep Learning - Computer Vision for Beginners Using PyTorch - AutoGrad in a Loop
In this video, you will learn to implement the AutoGrad function in a loop. This clip is from the chapter "AutoGrad in PyTorch" of the series "Deep Learning - Computer Vision for Beginners Using PyTorch".In this section, we will have a...
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Deep Learning - Convolutional Neural Networks with TensorFlow - What Is Convolution? (Part 1)
In this video, we will get introduced to the concept of convolution. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we...
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Deep Learning - Convolutional Neural Networks with TensorFlow - Batch Normalization
In this video, you will learn about batch normalization. This clip is from the chapter "Convolutional Neural Networks (CNNs)" of the series "Deep Learning - Convolutional Neural Networks with TensorFlow".In this section, we will cover a...
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Describe the applications of artificial intelligence systems : Essential Math for ML and AI
From the section: An Introduction to Machine Learning. In this section, we are introduced to Machine Learning. We learn about its types and applications. There will an explanation on AI versus ML. An Introduction to Machine Learning:...
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Create a computer vision system using decision tree algorithms to solve a real-world problem : Logistic Regression
From the section: Machine Learning: Part 1. In this section, we’ll learn how machine learning works, and how it fits in with the world of AI and deep learning. And learn to train, test and validate the data using K-fold cross-validation....
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Predictive Analytics with TensorFlow 7.1: Deep Learning for Better Predictive Analytics
DL is a branch of ML based on a set of algorithms that attempt to model high-level abstractions in data. In this video, we will see artificial neural networks and deep neural networks. We will also see deep neural networks architecture....
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Data Science and Machine Learning with R - Linear Regression - Real Model Section Introduction
This video explains linear regression – a real model. This clip is from the chapter "Linear Regression - a Real Model" of the series "Data Science and Machine Learning with R from A-Z Course [Updated for 2021]".This section explains a...
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Predictive Analytics with TensorFlow 3.5: Getting Started with Tensorflow – Linear Regression and Beyond
In this example, we will take a closer look at TensorFlow's and TensorBoard's main concepts and try to do some basic operations to get you started. The model we want to implement simulates the linear regression. • Create data into 2D space
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Python for Machine Learning - The Complete Beginners Course - Applications of Machine Learning
In this video, we will cover applications of machine learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will have a...
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Python for Machine Learning - The Complete Beginners Course - What Is Machine Learning?
In this video, we will understand machine learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will have a quick...
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Python for Machine Learning - The Complete Beginners Course - Machine Learning Methods
In this video, we will cover machine learning methods. This clip is from the chapter "Introduction to Machine Learning" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will have a quick...
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Python for Machine Learning - The Complete Beginners Course - What Is Unsupervised Learning?
In this video, we will understand unsupervised learning. This clip is from the chapter "Introduction to Machine Learning" of the series "Python for Machine Learning - The Complete Beginner's Course".In this section, we will have a quick...