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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Exercise Solution
This is an exercise solution 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...
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Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent
This video demonstrates about 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...
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Reinforcement Learning and Deep RL Python Theory and Projects - Automatic Differentiation PyTorch
This video explains automatic differentiation in PyTorch. 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 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 - 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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Powerful Presentations With Google Slides - Slide Backgrounds
After this video, the viewer will be able to alter the existing slide background or apply a new background to the slide.
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Language Modelling Next Word Prediction Python 6
In this video, we will cover language modelling next word prediction Python 6. 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...
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Data Science and Machine Learning (Theory and Projects) A to Z - RNN Implementation: Automatic Differentiation PyTorch
In this video, we will cover automatic differentiation PyTorch. 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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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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Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: What is Chain Rule
In this video, we will explain what is chain rule. This clip is from the chapter "Deep learning: Convolutional 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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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Engineering: Derived Features Histogram of Gradients Local Binary Patterns
In this video, we will cover derived features histogram of gradients local binary patterns. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and...
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Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: Automatic Differentiation PyTorch New
In this video, we will cover automatic differentiation PyTorch New. 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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Finding the Line of Symmetry for an Isosceles Triangle - Algebraic Solution
This video shows the process for solving the problem presented in IGCSE A June 2018 paper 1H Q20, which requires that the learner find an equation for the line of symmetry of an isosceles triangle. By the end of the video, learners will...
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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 - What Is Chain Rule
This video explains about 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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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 - Image Sharpening
This video explains about image sharpening. This clip is from the chapter "Image Processing" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on image processing.
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Deep Learning CNN Convolutional Neural Networks with Python - HOG Features Exercise
This is an exercise video on HOG Features. This clip is from the chapter "Object Detection" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the methods of object detection.
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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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Python for Deep Learning - Build Neural Networks in Python - What is Stochastic Gradient Descent?
In this video, we will understand what is 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 section, we will cover...