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Python for Deep Learning - Build Neural Networks in Python - Pooling Layer
In this video, you will learn about Pooling layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Python for Deep Learning - Build Neural Networks in Python - Minimizing the Cost Function Using Backpropagation
In this video, you will learn how to minimize the cost function using backpropagation. This clip is from the chapter "Propagation of Information in ANNs" of the series "Python for Deep Learning — Build Neural Networks in Python".In...
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Python for Deep Learning - Build Neural Networks in Python - Leaky Rectified Linear Unit function
In this video, you will learn about the Leaky Rectified Linear Unit function. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will...
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Python for Deep Learning - Build Neural Networks in Python - Label Encoding Using Scikit-Learn
In this video, you will learn how to work with label encoding using scikit-learn This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
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Python for Deep Learning - Build Neural Networks in Python - Introduction - Implementation of ANN in Python
In this video, we will have a quick Introduction to this section. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will...
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Python for Deep Learning - Build Neural Networks in Python - Important Terminologies
In this video, we will understand some important terminologies like differential function and monotonic function. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in...
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Python for Deep Learning - Build Neural Networks in Python - Hyperbolic Tangent Function
In this video, you will learn about the Hyperbolic tangent function. This clip is from the chapter "Activation Functions" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Python for Deep Learning - Build Neural Networks in Python - Gradient Descent versus Stochastic Gradient Descent
In this video, you will learn about Gradient Decent versus Stochastic Gradient Descent. This clip is from the chapter "Gradient Descent Algorithm" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
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Python for Deep Learning - Build Neural Networks in Python - Fully Connected Layer
In this video, you will learn about fully connected layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Python for Deep Learning - Build Neural Networks in Python - Feed-Forward and Back Propagation Networks
In this video, you will learn about feed-forward and back propagation networks. This clip is from the chapter "Propagation of Information in ANNs" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
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Python for Deep Learning - Build Neural Networks in Python - Convolution Layer
In this video, you will learn about the Convolution layer. This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Python for Deep Learning - Build Neural Networks in Python - Building the CNN Model
In this video, you will learn how to build the Convolutional Neural Networks (CNN) model. This clip is from the chapter "Implementation of CNN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In...
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Python for Deep Learning - Build Neural Networks in Python - Adding the Output Layer
In this video, you will learn how to add the output layer. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, you will learn how...
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Python for Deep Learning - Build Neural Networks in Python - Adding the Input Layer and the First Hidden Layer
In this video, you will learn how to add the input layer and the first hidden layer. This clip is from the chapter "Implementation of ANN in Python" of the series "Python for Deep Learning — Build Neural Networks in Python".In this...
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Python for Deep Learning - Build Neural Networks in Python - Accuracy of the Model
In this video, you will learn about the accuracy of the Convolutional Neural Networks (CNN) model. This clip is from the chapter "Implementation of CNN in Python" of the series "Python for Deep Learning — Build Neural Networks in...
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Python for Deep Learning - Build Neural Networks in Python - Recurrent Neural Network (RNN)
In this video, you will learn about Recurrent Neural Network (RNN). This clip is from the chapter "Neural Network Architectures" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover...
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Python for Deep Learning - Build Neural Networks in Python - Hopfield Neural Network
In this video, you will learn about Hopfield neural network. This clip is from the chapter "Neural Network Architectures" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we will cover Neural...
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Python In Practice - 15 Projects to Master Python - Creating Loops Using While Statements
This video explains the loops, how to create loops using while statements, creating conditions for while loops, exiting a loop, nested if-else statements in while loops, continue keyword, and break keyword. This clip is from the chapter...
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Python In Practice - 15 Projects to Master Python - zip( )
This video explains the zip( ) function. This clip is from the chapter "All Built-In Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on all built-in functions.
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Python In Practice - 15 Projects to Master Python - Working with Images
This video helps in working with images. This clip is from the chapter "Advanced Level: Python GUI" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the advanced level concepts that is on python GUI.
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Python In Practice - 15 Projects to Master Python - What Is Programming?
This video provides a basic idea about programming. This clip is from the chapter "Programming with Python: Basics and Environment Setup" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on...
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Python In Practice - 15 Projects to Master Python - What Are Classes and How to Create Them
This video explains classes and how to create them. This clip is from the chapter "Object-Oriented Programming" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on object-oriented programming.
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Python In Practice - 15 Projects to Master Python - vars( )
This video explains the vars( ) function. This clip is from the chapter "All Built-In Functions" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on all built-in functions.
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Python In Practice - 15 Projects to Master Python - Variables
This video explains the variables, how to create variables, and different types of variables. This clip is from the chapter "Data Types and Variables" of the series "Python in Practice - 15 Projects to Master Python".This section focuses...