Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Gradient Descent
This video demonstrates about 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - Changing Policy Architecture
This video explains about changing policy architecture. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
Packt
Fundamentals of Neural Networks - Lab 3 - Deep CNN
This video demonstrates a deeper CNN, where you will build a much bigger number of trainable parameters. This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Packt
Fundamentals of Neural Networks - Forward Propagation
This video explains forward propagation and will dive deeper into the architecture of neural networks. This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Introduction to the Section - AWS EventBridge for Decouple Microservices with Event-Driven Architecture
This video introduces the section. This clip is from the chapter "AWS EventBridge for Decouple Microservices with Event-Driven Architecture" of the series "AWS Serverless Microservices with Patterns and Best Practices".This section...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - Create a New CDK Project for Our E-Commerce Serverless Microservices Project
This video shows you how to create a new CDK project for our e-commerce serverless microservices project. This clip is from the chapter "Creating Our E-Commerce Serverless Microservices Project with CDK" of the series "AWS Serverless...
Curated Video
AWS Serverless Microservices with Patterns and Best Practices - AWS Step Functions for Orchestration Order Fulfilment with Saga Pattern
This video talks about AWS step functions for orchestration order fulfilment with Saga pattern. This clip is from the chapter "What Next – AWS Step Functions for Orchestration Order Fulfilment" of the series "AWS Serverless Microservices...
Curated Video
AWS Cloud Development Kit - From Beginner to Professional - Highly Available Web Servers with AutoScaling and Application Load Balancer
This video explains highly available web servers with AutoScaling and application load balancer. This clip is from the chapter "CDK Stacks: Resources and Reusability" of the series "AWS Cloud Development Kit - From Beginner to...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Yolo: Image Classification Revisited
In this video, we will cover image classification revisited. 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...
Curated Video
Data Science and Machine Learning (Theory and Projects) A to Z - Deep Neural Networks and Deep Learning Basics: Number of Neurons Versus Number of Layers
In this video, we will cover number of neurons versus number of layers. 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 - Deep Neural Networks and Deep Learning Basics: Universal Approximation Theorem
In this video, we will cover Universal Approximation Theorem. 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...
Next Animation Studio
Green And Beautiful: Hong Kong’s Eco-Friendly Office Tower
The 36-story tower’s energy-efficient design has already earned the building L.E.E.D. Platinum pre-certification
Curated Video
Arduino OOP - How to Build an Arduino Project with OOP - Best Practices
In this video, you will learn how to build an Arduino project with OOP. This clip is from the chapter "Conclusion" of the series "Arduino OOP — Object-Oriented Programming".Welcome to the last section of this course.
Packt
How to Build an Arduino Project with OOP - Best Practices
In this video, you will learn how to build an Arduino project with OOP. This clip is from the chapter "Conclusion" of the series "Arduino OOP — Object-Oriented Programming".Welcome to the last section of this course.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - Practical Tips
This video showcases some practical tips. This clip is from the chapter "Transfer Learning" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on transfer learning.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - LeNet Solution
This is a solution video on LeNet. This clip is from the chapter "Classical CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on classical CNNs.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - LeNet Quiz
This is a quiz video on LeNet. This clip is from the chapter "Classical CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on classical CNNs.
Curated Video
Deep Learning CNN Convolutional Neural Networks with Python - GoogLeNet
This video explains about GoogLeNet. This clip is from the chapter "Classical CNNs" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on classical CNNs.
Curated Video
Docker Certified Associate Certification Training Course - Docker Architecture
This video introduces you to Docker Architecture. This clip is from the chapter "Introduction to Docker" of the series "Docker Certified Associate (DCA) Certification Training Course".This section explains the course.
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN What Is Loss Function
This video demonstrates about the Loss function. 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...
Curated Video
Reinforcement Learning and Deep RL Python Theory and Projects - DNN Implementation Gradient Step
This video explains about the implementation of the gradient step. 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 Architecture Exercise Solution
This is an exercise solution video on DNN architecture. 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...
Packt
Fundamentals of Neural Networks - VGG16
This video explains VGG16 which is a convolutional neural network model proposed by K. Simonyan and A. Zisserman from the University of Oxford in the paper "Very Deep Convolutional Networks for Large-Scale Image Recognition". This clip...
Packt
Fundamentals of Neural Networks - Convolutional Operation
The Convolution layer (CONV) uses filters that perform convolution operations as it is scanning the input with respect to its dimensions. Its hyperparameters include the filter size and stride. The resulting output is called a feature...