The Guardian
Respect is a two-way thing
As part of a series on modern masculinity, Guardian journalist Iman Amrani is exploring what masculinity means to men, aiming to hear from voices that are not often heard in mainstream discussions. In this episode, she speaks to men from...
Curated Video
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.
Curated Video
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...
Curated Video
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...
Curated Video
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...
Curated Video
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...
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
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...
Curated Video
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.
Curated Video
Hands-on .NET Minimal API for Web Developers - Returning the Results in Minimal API
This lecture will teach us how to return values from the Map method in Minimal API. This clip is from the chapter "Implementing Collection APIs" of the series "Hands-On .NET Minimal API for Web Developers".In this section, you will learn...
Curated Video
Machine Learning Random Forest with Python from Scratch - Impurity
Like all dataset characteristics, we will look at the impurities in a dataset and how they should be minimum in a good dataset. This clip is from the chapter "Random Forest Step-by-Step" of the series "Machine Learning: Random Forest...
Curated Video
Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Write Deploy AWS Lambda Function
This is a lab video that demonstrates how to write deploy AWS Lambda function. This clip is from the chapter "Snowflake – External Functions" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses...
Curated Video
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...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Chain Rule for Backpropagation
In this video, you will learn about the chain rule for backpropagation. 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...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Basics of Backpropagation
In this video, you will learn about basics of backpropagation. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in CNNs: Applying Chain Rule
In this video, we will cover applying 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, we...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Geographic Maps with Folium: Geographic Maps with Folium using COVID-19 Data Quiz
In this video, we will cover geographic maps with Folium using COVID-19 data quiz. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - DNN and Deep Learning Basics: DNN Gradient Descent
In this video, we will cover DNN gradient descent. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation: Pandas Practice-Using COVID19 Data - Part 2
In this video, we will cover Pandas practice-using COVID19 data -part 2. This clip is from the chapter "Basics for Data Science: Python for Data Science and Data Analysis" of the series "Data Science and Machine Learning (Theory and...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Pandas for Data Manipulation and Understanding: Pandas Group by Solution
In this video, we will cover Pandas group by solution. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization 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 - Pandas for Data Manipulation and Understanding: Pandas DateTime
In this video, we will cover Pandas DateTime. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization 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 - Pandas for Data Manipulation and Understanding: Hierarchical Indexing
In this video, we will cover hierarchical indexing. This clip is from the chapter "Basics for Data Science: Data Understanding and Data Visualization with Python" of the series "Data Science and Machine Learning (Theory and Projects) A...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Optional Estimation: Loglikelihood
In this video, we will cover Loglikelihood.
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Object Detection: HOG Features
In this video, we will cover HOG features. 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...