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Python for Deep Learning - Build Neural Networks in Python - Rectified Linear Unit (ReLU) Function
In this video, you will learn about Rectified Linear Unit (ReLU) 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 - Radial Basis Network (RBN)
In this video, you will learn about Radial Basis Network (RBN). 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 - 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 - Data Pre-Processing
In this video, you will learn how data pre-processing works. 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 - 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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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...
Packt
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...
Packt
Fundamentals of Neural Networks - Welcome to RNN
This video explains recurrent neural networks and why we want to use RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...
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Fundamentals of Machine Learning - Introduction
This video explains a brief history of where machine learning started. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...