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Deep Learning - Deep Neural Network for Beginners Using Python - Perceptron Training Part 1
In this video, we will cover an example to understand perceptron training. 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 - Perceptron Algorithm
In this video, we will understand how the perceptron algorithm works. 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 - Output Function Implementation
In this video, you will learn how to implement output function in our code. 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 - Other Activation Functions
In this video, we will cover other activation functions and replace sigmoid with tanh and ReLU. This clip is from the chapter "Optimizations" 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 - One-Hot Encoding (NN Implementation)
In this video, you will learn how to implement one-hot encoding 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 - Need of SoftMax
In this video, we will understand the need for SoftMax. 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 - N-Dimensional Space
In this video, we will discuss about N-dimensional space. 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 - Multi-Class Problem
In this video, we will cover multi-class classification. 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 - Multi-Class Cross Entropy
In this video, you will learn about multi-class cross entropy. 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Logistic Regression Algorithm
In this video, we will talk about the logistic regression algorithm. 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 - Linear to Non-Linear Boundaries
In this video, we will use the non-linear solution as a possible solution. 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - L1 and L2 Regularization
In this video, we will discuss L1 and L2 regularization. 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 - Introduction to Gradient Descent
In this video, we will get introduced to gradient descent. 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 learning.
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Deep Learning - Deep Neural Network for Beginners Using Python - Implementing Basic Perceptron
In this video, you will learn how to implement the basic perceptron in our notebook. 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 - How Gradient Descent Works
In this video, we will understand how gradient descent works. 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 - Helper Functions (NN Implementation)
In this video, you will learn how to implement helper functions 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 - Gradient Descent Versus Perceptron
In this video, we will understand the difference between gradient descent and perceptron. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 4
In this part, we will work on predict, accuracy, and neural network functions. 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 3
In this part, we will work on the sigmoid, backpropagation, and train functions. 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 2
In this part, we will work on the initialization functions and the feedforward. 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Feed Forward for DEEP Net
In this video, you will learn about Feed Forward for DEEP Net. 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 - Early Stopping
In this video, we will look at a possible solution, which is early stopping. 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Dropout
In this video, we will understand what Dropout is. 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 neural...
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Deep Learning - Deep Neural Network for Beginners Using Python - Cross Entropy Implementation
In this video, you will learn how to implement cross entropy in our code. 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...