Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Edge Detection
In this video, we will cover edge detection. 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, we will...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Convolution
In this video, we will cover convolution. 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, we will...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Image Processing: Converting an Image to Grayscale in Python
In this video, we will cover converting an image to grayscale in Python. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients Solution
In this video, we will understand why gradients solution. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients Exercise
In this video, we will understand why gradients exercise. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Why Gradients
In this video, we will understand why gradients. 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 section, we will...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Loss Function
In this video, we will cover loss function. 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 section, we will...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Introduction to Gradient Descent Module
In this video, we will cover an introduction to gradient descent module. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Example Setup
In this video, we will cover example setup. 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 section, we will...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations Solution
In this video, we will cover equations solution. 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 section, we will...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations Exercise
In this video, we will cover equations exercise. 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 section, we will...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations
In this video, we will cover equations. 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 section, we will cover...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule in Action
In this video, we will cover chain rules in action. 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 section, we...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Chain Rule
In this video, we will cover chain rules. 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 section, we will cover...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Activity
In this video, we will cover activities. 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 section, we will cover...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Why Derivatives
In this video, we will understand why derivatives. 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,...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy ForwardPass.mp4.
In this video, we will cover implementation in NumPy ForwardPass.mp4. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 5
In this video, we will cover implementation in NumPy BackwardPass 5. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 4
In this video, we will cover implementation in NumPy BackwardPass 4. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 3
In this video, we will cover implementation in NumPy BackwardPass 3. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 2
In this video, we will cover implementation in NumPy BackwardPass 2. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Implementation in NumPy BackwardPass 1
In this video, we will cover implementation in NumPy BackwardPass 1. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Gradients of MaxPooling Layer
In this video, we will cover gradients of MaxPooling layer. 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...
Packt
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Gradients of Convolutional Layer
In this video, we will cover gradients of convolutional layer. 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...
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