Packt
Fundamentals of Neural Networks - Backward Propagation
This video explains backward propagation, which is defined by the optimization problem called the gradient descent algorithm. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This...
Packt
Fundamentals of Neural Networks - Why Use RNN
A Recurrent neural network is a type of artificial neural network commonly used in speech recognition and natural language processing. Recurrent neural networks recognize data's sequential characteristics and use patterns to predict the...
Packt
Fundamentals of Neural Networks - Forward Propagation in RNN
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...
Packt
Fundamentals of Neural Networks - Backward Propagation Through Time
Backpropagation through time (BPTT) is a gradient-based technique for training certain types of recurrent neural networks. It can be used to train Elman networks. The algorithm was independently derived by numerous researchers. This clip...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Creating API Gateway for Ordering Microservices with AWS CDK
This video shows how to create an API Gateway for ordering microservices with AWS CDK. This clip is from the chapter "Creating Ordering Microservices Infrastructure with AWS CDK" of the series "AWS Serverless Microservices with Patterns...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - AWS Lambda as a Microservice
This video explains how AWS Lambda acts as a microservice. This clip is from the chapter "Thinking AWS Serverless for Event-Driven Microservices Architecture" of the series "AWS Serverless Microservices with Patterns and Best...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Architecture of API Gateway
This video explains the architecture of API Gateway. This clip is from the chapter "API Gateway RESTful API Development with Synchronous Lambda Event Sources" of the series "AWS Serverless Microservices with Patterns and Best...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Set Environment Variables for EventBridge Entry Parameters When Publish Checkout
This video explains how to set environment variables for EventBridge entry parameters when publish checkout. This clip is from the chapter "Develop Checkout Basket for Send Event to AWS EventBridge from Basket with SDK" of the series...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Mapping Microservice Architecture with AWS Serverless Services for Microservice
This video demonstrates the mapping of microservice architecture with AWS serverless services for microservices. This clip is from the chapter "Thinking AWS Serverless for Event-Driven Microservices Architecture" of the series "AWS...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Introduction to the Section - AWS SQS for Event-Driven Architecture with Queues
This video provides an introduction to the section. This clip is from the chapter "AWS SQS for Event-Driven Architecture with Queues" of the series "AWS Serverless Microservices with Patterns and Best Practices".This section focuses on...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Introduction to the Section - Creating AWS EventBridge EventBus Infrastructure with AWS CDK – Checkout Basket
This video provides an introduction to the section. This clip is from the chapter "Creating AWS EventBridge EventBus Infrastructure with AWS CDK – Checkout Basket" of the series "AWS Serverless Microservices with Patterns and Best...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Introduction to the Section - API Gateway-Lambda Synchronous RESTful Microservices with CDK
This video provides an introduction to the section. This clip is from the chapter "API Gateway-Lambda Synchronous RESTful Microservices with CDK" of the series "AWS Serverless Microservices with Patterns and Best Practices".This section...
Curated Video
Snowflake - Build and Architect Data Pipelines Using AWS - Snowflake Architecture
This video explains the Snowflake architecture. This clip is from the chapter "Introduction to Snowflake and AWS" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses on the introduction to...
Curated Video
Deep Learning - Deep Neural Network for Beginners Using Python - Layers and DEEP Networks
In this video, you will learn about layers and DEEP networks. 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 - 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 - DNN and Deep Learning Basics: DNN Architecture Exercise Solution
In this video, we will cover DNN architecture 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 - Deep Neural Networks and Deep Learning Basics: The Activation Function
In this video, we will cover the activation function. 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
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Feedforward Fully Connected MLP
In this video, we will cover Feedforward fully connected MLP. 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 - Deep Neural Networks and Deep Learning Basics: Deep Neural Network Architecture
In this video, we will cover deep neural network architecture. 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 - Deep Neural Network Architecture: Pooling Tensors
In this video, we will cover pooling Tensors. 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 - Deep Learning Overview: Introduction to Deep Neural Networks (DNN)
In this video, we will cover an introduction to Deep Neural Networks (DNN). 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: Resnet
In this video, we will cover Resnet. 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 cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: LeNet
In this video, we will cover LeNet. 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 cover...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Classical CNNs: Google Net
In this video, we will cover Google Net. 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...