Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - RNN Architecture: Infinite Memory Architecture
In this video, we will cover infinite memory architecture. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Multiple Random Variables: Regression
In this video, we will cover regression.
Curated Video
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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Dimensionality Reduction: The Curse of Dimensionality
In this video, we will cover the curse of dimensionality. This clip is from the chapter "Machine Learning: Machine Learning Crash Course" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In this section, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Mathematical Foundation: SubSpace
In this video, we will cover SubSpace. 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 Projects) A to Z".In this...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Regression Exercise Solution
In this video, we will cover regression exercise solution. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Training Exercise Solution
In this video, we will cover machine learning model training exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and Projects)...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Multi Target Models Exercise Solution
In this video, we will cover machine learning model multi target models exercise solution. This clip is from the chapter "Deep learning: Artificial Neural Networks with Python" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Multi Target Models
In this video, we will cover machine learning model multi target models. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Machine Learning Model Linearity
In this video, we will cover machine learning model linearity. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Introduction to Machine Learning: Classification Solution
In this video, we will cover classification solution. 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,...
Curated Video
Vectors: Theory
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...
Curated Video
Rust Programming Master Class from Beginner to Expert - Using External Crates
In this video, you will learn how to use external crates. 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 Rust modules...
Curated Video
Rust Programming Master Class from Beginner to Expert - String Reversal Using Stacks
In this video, you will learn how to perform string reversal using Stacks. This clip is from the chapter "Project: Stack Implementation" of the series "Rust Programming Master Class from Beginner to Expert".In this section, we will put...
Curated Video
Rust Programming Master Class from Beginner to Expert - Functions within a Trait
In this video, we will cover functions within a trait. 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 exploring...
Curated Video
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.
Curated Video
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.
Curated Video
Python for Deep Learning - Build Neural Networks in Python - Fully Connected Layer
In this video, you will learn about fully connected layer. 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 will cover...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Perceptron Implementation
This video explains the implementation of 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN What Is Loss Function Exercise Solution - 2
This is an exercise solution video on the Loss function in DNN. 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent Exercise
This is an exercise 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...
Curated Video
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...
Curated Video
Python In Practice - 15 Projects to Master Python - Extracting Features and Transforming the Reviews Data
This video explains extracting features and transforming the reviews data. 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.
Packt
Fundamentals of Neural Networks - Lab 1 - Introduction to Convolutional 1-Dimensional
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...