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Deep Learning CNN Convolutional Neural Networks with Python - Weight Initialization
This video explains about weight initialization. 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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Reinforcement Learning and Deep RL Python Theory and Projects - Why DNNs in Machine Learning
This video explains why we need DNNs in machine learning. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent Summary
In this video, we will cover DNN gradient descent summary. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN What Is Loss Function Exercise
This is an exercise video on the Loss function in DNN. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation...
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Deep Learning CNN Convolutional Neural Networks with Python - DNN Training Parameters
This video explains the DNN training parameters. 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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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent Exercise Solution
In this video, we will cover DNN gradient descent exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Hyperparameters Exercise
In this video, we will cover machine learning model hyperparameters exercise. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Why DNNs in Machine Learning
In this video, we will understand why DNNs in machine learning. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Practical Data Science using Python - Linear Regression - Cost Functions and Gradient Descent
This video explains linear regression - cost functions and gradient descent. This clip is from the chapter "Linear Regression" of the series "Practical Data Science Using Python".This section explains linear regression.
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Practical Data Science using Python - Introduction to Deep Learning
This video introduces you to deep learning. This clip is from the chapter "Introduction to Deep Learning" of the series "Practical Data Science Using Python".This section explains deep learning.
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Weights Initializations
This video explains about weights initializations. This clip is from the chapter "DNN Foundation for Deep RL" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the DNN foundation for...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Training Loss
In this video, we will cover machine learning model training loss. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Data Snooping
In this video, we will cover machine learning data snooping. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: DNN Training Parameters
In this video, we will cover DNN training parameters. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section,...
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Fundamentals of Machine Learning - Unsupervised Learning
This video explains unsupervised learning, Principal Components Analysis (PCA), and clustering. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical...
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Fundamentals of Machine Learning - Support Vector Machine (SVM) - Lectures
This video explains the support vector machine called SVM and its introduction. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling,...
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Fundamentals of Machine Learning - Tree-Based Methods - Part 2
The second part of the tree-based methods explains random forests. This clip is from the chapter "Lectures" of the series "Fundamentals of Machine Learning".This section explains the basics of statistical learning, sampling, and...
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Python for Deep Learning - Build Neural Networks in Python - Compiling the Artificial Neural Network
In this video, you will learn how to compile the Artificial Neural Network. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Problem Setup - Neural Style Transfer
This video demonstrates the problem setup. This clip is from the chapter "Neural Style Transfer" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the neural style transfer.
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Deep Learning CNN Convolutional Neural Networks with Python - Gradient Descent
This video explains about gradient descent. 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 neural...
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Deep Learning CNN Convolutional Neural Networks with Python - Example Setup
This video helps in example setup. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on gradient descent in CNNs.
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Deep Learning CNN Convolutional Neural Networks with Python - Backpropagation
This video explains backpropagation. 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 neural network.
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Reinforcement Learning and Deep RL Python Theory and Projects - Target Network and Recap
This video explains about the target network and recap. This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.
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Reinforcement Learning and Deep RL Python Theory and Projects - Introduction and Recap
This video provides an introduction and recap to the section. This clip is from the chapter "Deep RL DQN" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on deep RL DQN.