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Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights in Python
In this video, you will learn how to update weights in Python. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Training (NN Implementation)
In this video, you will learn how to train our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Perceptron Training Part 3
In this video, we will see what happens when the learning point is zero or closer to zero. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this...
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Deep Learning - Deep Neural Network for Beginners Using Python - One-Hot Encoding
In this video, we will understand one-hot encoding. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the basics of deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Multi-Class Classification
In this video, you will learn about multi-class classification. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 2
In this video, we will build a relation between error and probability. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover...
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Deep Learning - Deep Neural Network for Beginners Using Python - Logical Gates for Perceptrons
In this video, we will cover logical gates for perceptrons. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the basics...
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Deep Learning - Deep Neural Network for Beginners Using Python - Implementing Logistic Regression
In this video, you will learn how to implement logistic regression. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into...
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Deep Learning - Deep Neural Network for Beginners Using Python - Gradient Step
In this video, we will break down the gradient step and learn how to update weight and biases. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 1
In this first video, we will understand our project goals. Next, we will explore the Iris dataset, then learn how to update and split the data. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural...
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Deep Learning - Deep Neural Network for Beginners Using Python - Error Functions
In this video, you will learn about error functions. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the basics of deep...
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Fundamentals of Machine Learning - Classification
This video explains one of the most basic forms of classification, which is the logistic regression model. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of...
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Practical Data Science using Python - Logistic Regression - Logit Model
This video explains logistic regression - Logit model. This clip is from the chapter "Logistic Regression" of the series "Practical Data Science Using Python".This section explains logistic regression.
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Deep Learning CNN Convolutional Neural Networks with Python - Activation Function
This video explains about the activation function. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep...
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Fundamentals of Neural Networks - Activation Function
This video explains the role of the activation function, which is an interesting phenomenon in the design of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
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Deep Learning - Deep Neural Network for Beginners Using Python - Scaling the Data (NN Implementation)
In this video, you will learn how to implement scaling the data in our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will...
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Deep Learning - Deep Neural Network for Beginners Using Python - Maximum Likelihood Part 1
In this video, you will learn about maximum likelihood with the help of an example. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Deep Learning - Deep Neural Network for Beginners Using Python - Local Minima Problem
In this video, we will talk about the local minima problem. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
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Deep Learning - Deep Neural Network for Beginners Using Python - Linear Equation Vectorized
In this video, we will discuss about the vectorized form of linear equation. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will...
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Deep Learning - Deep Neural Network for Beginners Using Python - Linear Equation
In this video, we will discuss about the linear equation. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the basics of...
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Deep Learning - Deep Neural Network for Beginners Using Python - Introduction to Instructor
In this video, we will get introduced to instructor. This clip is from the chapter "Introduction" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".Welcome to the course. In this first section, we will be...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 5
In this final part, we will test our model. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be working on our final project in...
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Deep Learning - Deep Neural Network for Beginners Using Python - Discrete Versus Continuous Error Function
In this video, we will discuss about two different natures of error functions, which are discrete and continuous error functions. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Data Analysis NN (Neural Networks) Implementation
In this video, you will learn how to implement data analysis in our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will...