In this video, we will cover regression exercise solution.
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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...

In this video, we will cover machine learning model training exercise solution.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory...

In this video, we will cover machine learning model multi target models exercise solution.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning...

In this video, we will cover machine learning model multi target models.
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This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...

In this video, we will cover machine learning model linearity.
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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...

In this video, we will cover classification solution.
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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 video shows the use of vector theory to work out the coordinates of points on a parallelogram. It also shows how to use a vector method to prove that points on a parallelogram form a straight line. Source of question: IGCSE A June...

In this video, you will learn how to use external crates.
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This clip is from the chapter "Rust Modules and Crates" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will be exploring...

In this video, you will learn how to perform string reversal using Stacks.
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This clip is from the chapter "Project: Stack Implementation" of the series "Rust Programming Master Class from Beginner to Expert".In this section,...

In this video, we will cover functions within a trait.
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This clip is from the chapter "Structures, Traits, Generics, Enums" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will be...

This is an exercise video on HOG Features.<br<br/>/>

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.

This video explains gradients of the MaxPooling layer.
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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...

In this video, you will learn about fully connected layer.
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This clip is from the chapter "Convolutional Neural Networks (CNN)" of the series "Python for Deep Learning — Build Neural Networks in Python".In this section, we...

This video explains the implementation of Perceptron.
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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...

This is an exercise solution video on the Loss function in DNN.
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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...

This is an exercise video on gradient descent.
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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...

This video explains about the implementation of DNN ForwardStep.
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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...

This video explains extracting features and transforming the reviews data.<br<br/>/>

This clip is from the chapter "Rating Bot" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on the Rating Bot.

This video demonstrates convolutional operations in 1-dimension. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural networks where you...

The forward propagation in an RNN makes a few assumptions: 1) We assume the hyperbolic tangent activation function for the hidden layer. 2) We assume that the output is discrete as if the RNN is used to predict words or characters. This...

Mark introduces you to the tools that allow you to change the shape of text in Photoshop.

In this video, you will learn how to implement the basic perceptron in our notebook.
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This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In...

In this video, we will cover PCA for small sample size problems (DualPCA).
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine...

In this video, we will cover image features.
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This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...