This video helps in explaining the source to target stored procedure.
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This clip is from the chapter "Metadata-Driven Ingestion" of the series "Azure Data Factory for Beginners - Build Data Ingestion".Introduction to...

There are a number of live effects that can be applied through the layers palette. Mark will review a number of those effects in this video.

In this video, we will cover Universal Approximation Theorem.
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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...

Deep learning is currently one of the best providers of solutions regarding problems in image recognition, speech recognition, object recognition, and natural language with its increasing number of libraries that are available in...

This video showcases some practical tips.<br<br/>/>

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.

This is a solution video on LeNet.<br<br/>/>

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.

This is a quiz video on LeNet.<br<br/>/>

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.

This is a quiz video on 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...

This video explains about GoogLeNet.<br<br/>/>

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.

This is a solution video on DNN architecture.
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This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of...

This video explains how to mask in Figma.
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This clip is from the chapter "Discover the Most important Things about Figma" of the series "Figma for UI/UX: Master Web Design in Figma".This section focuses on the most important...

This video demonstrates creating a gallery / collage in Figma.
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This clip is from the chapter "Discover the Most important Things about Figma" of the series "Figma for UI/UX: Master Web Design in Figma".This section focuses on...

This video summarizes the section.<br<br/>/>

This clip is from the chapter "Getting Started with Docker" of the series "Docker Certified Associate (DCA) Certification Training Course".This section explains getting started with Docker.

This video explains Docker images.<br<br/>/>

This clip is from the chapter "Getting Started with Docker" of the series "Docker Certified Associate (DCA) Certification Training Course".This section explains getting started with Docker.

This is an exercise solution video that explains why activation function is required.
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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...

This video demonstrates about the Loss function.
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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 the gradient step.
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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...

This video explains about the DNN hyperparameters.
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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 is an exercise solution video on DNN architecture.
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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...

This video explains about the DNN architecture.
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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 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...

This video demonstrates how to design a recurrent neural network or RNN. This clip is from the chapter "Recurrent Neural Networks" of the series "Fundamentals in Neural Networks".This section explains NLP, we will start with recurrent...

Creating attractive buttons is a common task for Photoshop users. In this video you'll learn how to create a button using Photoshop tools.