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Deep Learning CNN Convolutional Neural Networks with Python - FeedForward FullyConnected MLP
This video talks about the FeedForward FullyConnected MLP. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - DNN Architecture
This video demonstrates the DNN architecture. 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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Deep Learning CNN Convolutional Neural Networks with Python - Activation Function
This video explains about the activation function. 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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Python for Deep Learning - Build Neural Networks in Python - How do Artificial Neural Networks Work?
In this video, we will understand how artificial neural networks work. This clip is from the chapter "Summary - Overview of Neural Networks" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we...
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Reinforcement Learning and Deep RL Python Theory and Projects - Changing Policy Architecture
This video explains about changing policy architecture. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Summary
This is a summary video on gradient descent. 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 deep RL.
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 5
In this final part, we will test our model. 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 working on our final project in...
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Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Universal Approximation Theorem
In this video, we will cover Universal Approximation Theorem. 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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The complexities of social behavior -- early concept brain research
What goes into fruit fly courtship? It might seem like an odd question, but understanding its neural underpinnings – and studying the male-female interactions at the milliscale level -- could help us better understand the complexities of...
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Sapolsky’s Theory: How Your Evolution Affects Your Behavior
In this video, Sapolsky's theory of human behavioral biology is explored, which claims that every behavior is a product of natural selection and biological processes in the brain. The complexity of understanding human behavior is...
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The Nervous Tissue: How It Works in Our Body
This video explains how our body responds to different stimuli through the nervous system. It covers the anatomy and function of nerve cells, nerve fibers, and the different types of neurons that make up the nervous tissue. The video...
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Deep Learning CNN Convolutional Neural Networks with Python - Why Convolution
This video explains why we need convolution. This clip is from the chapter "Deep Neural Network Architecture" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the deep neural network...
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Deep Learning CNN Convolutional Neural Networks with Python - Decision Boundary in DNN
This video explains decision boundary in DNN. 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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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 - 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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Reinforcement Learning and Deep RL Python Theory and Projects - Policy Network Explained
This video explains about the policy network. 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 - Perceptron
This video explains about Perceptron. 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 deep RL.
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN What Is Loss Function
This video demonstrates about the Loss function. 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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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Gradient Step
This video explains about the implementation of the gradient step. 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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Reinforcement Learning and Deep RL Python Theory and Projects - DNN ForwardStep Implementation
This video explains about the implementation of DNN ForwardStep. 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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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Dropout
This video explains about the DNN Dropout. 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 deep RL.
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Architecture Exercise Solution
This is an exercise solution video on DNN architecture. 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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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Architecture
This video explains about the DNN architecture. 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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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Why Activation Function Is Required Exercise
This is an exercise video that explains why activation function is required. 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...