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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Optimizations
In this video, we will cover DNN optimizations. 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, we will...
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Deep Learning - Deep Neural Network for Beginners Using Python - Updating Weights in Python
In this video, you will learn how to update weights in Python. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Gradient Step
In this video, we will break down the gradient step and learn how to update weight and biases. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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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 - DNN Optimizations
This video explains about DNN optimizations. 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 - Local Minima Problem
In this video, we will talk about the local minima problem. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Backpropagation Through Time
In this video, we will cover backpropagation through time. This clip is from the chapter "Deep learning: Recurrent Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this...
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Deep Learning CNN Convolutional Neural Networks with Python - Why Derivatives
This video explains the need of derivatives. 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 - Implementation in NumPy BackwardPass 5
This is fifth of the five-part video on implementation in NumPy BackwardPass. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 4
This is fourth of the five-part video on implementation in NumPy BackwardPass. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 3
This is third of the five-part video on implementation in NumPy BackwardPass. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 2
This is the second of the five-part video on implementation in NumPy BackwardPass. This clip is from the chapter "Gradient Descent in CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses...
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Deep Learning CNN Convolutional Neural Networks with Python - Implementation in NumPy BackwardPass 1
This is first of the five-part video on implementation in NumPy BackwardPass. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Gradients of MaxPooling Layer
This video explains gradients of the MaxPooling layer. 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 - Gradients of Convolutional Layer
This video explains gradients of the convolutional layer. 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...
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Deep Learning CNN Convolutional Neural Networks with Python - Applying Chain Rule
This video explains how to apply the chain rule. 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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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Implementation
This video explains about the implementation of 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Vanishing Gradient Problem
In this video, we will talk about the vanishing gradient problem. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations...
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Deep Learning - Deep Neural Network for Beginners Using Python - Use of Derivatives
In this video, we will discuss the uses of derivatives. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.
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Deep Learning - Deep Neural Network for Beginners Using Python - Sigma Prime
In this video, you will learn about Sigma Prime. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.
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Deep Learning - Deep Neural Network for Beginners Using Python - How Gradient Descent Works
In this video, we will understand how gradient descent works. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Helper Functions (NN Implementation)
In this video, you will learn how to implement helper functions in our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 3
In this part, we will work on the sigmoid, backpropagation, and train functions. 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...
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Deep Learning - Deep Neural Network for Beginners Using Python - Convex Functions
In this video, we will discuss about convex functions. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep learning.