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Fundamentals of Neural Networks - Padding
This video explains padding in convolutional neural networks. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...
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Fundamentals of Neural Networks - Convolutional Operation
The Convolution layer (CONV) uses filters that perform convolution operations as it is scanning the input with respect to its dimensions. Its hyperparameters include the filter size and stride. The resulting output is called a feature...
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Fundamentals of Neural Networks - Tensor and Matrix
This video explains what we mean by Tensor and Matrix. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you will start...
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Fundamentals of Neural Networks - Image Data
This video explains image data in CNN (Convolutional Neural Network). This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where...
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Fundamentals of Neural Networks - Lab 5 - Building Deeper and Wider Model
This video demonstrates how to build a deeper and wider neural network model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks...
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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 - Cross-Entropy Loss Function
This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in...
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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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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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Fundamentals of Neural Networks - Forward Propagation
This video explains forward propagation and will dive deeper into the architecture of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Fundamentals of Neural Networks - Purpose of Neural Networks
This video explains the purpose of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where you will learn every...
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Fundamentals of Neural Networks - Logistic Regression
This video explains logistic regression and specifically if the target here is discrete or binary. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Fundamentals of Neural Networks - Linear Regression
This video explains statistical machine learning, where you will start with the linear regression model. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
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Fundamentals of Neural Networks - Course Outline
This video explains the course outline and what the course has to offer. This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the course outline.
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Fundamentals of Neural Networks - Welcome Message
This video explains the need for taking up the course and introduces you to the author. This clip is from the chapter "Welcome" of the series "Fundamentals in Neural Networks".This section introduces you to the course and the course...
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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 - NumPy Part 3
In this video, you will learn about slicing and modifying the arrays. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick...
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Deep Learning - Crash Course 2023 - NumPy Part 2
In this video, you will learn what is broadcasting in NumPy. This clip is from the chapter "Python for Data Science - Crash Course" of the series "Deep Learning - Crash Course 2023".In this section, we will have a quick refresher on...
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Deep Learning - Crash Course 2023 - Installing Jupyter Notebook
In this video, you will learn how to install Jupyter Notebook on your system. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our foundation...
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Deep Learning - Crash Course 2023 - Functions and Classes in Python
In this video, we will understand what functions and classes are in Python. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our foundation...
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Deep Learning - Crash Course 2023 - Python Control statements - While and For
In this video, we will look at the different loops in Python called While and For. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...
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Deep Learning - Crash Course 2023 - Control Statements Python if…else
In this video, we will explain the control statements in Python like if…else statements. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our...
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Deep Learning - Crash Course 2023 - Python Basics - Containers in Python
In this video, you will learn about tuples, sets, and dictionaries. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course 2023".In this section, we will work on our foundation of Python...
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Deep Learning - Crash Course 2023 - Python Basics - Data Types
In this video, you will learn about variables, comments in Python, basic data types, Boolean, strings, and Python containers. This clip is from the chapter "Python Crash Course on Basics" of the series "Deep Learning - Crash Course...