Apart from a final cleanup to make our project more functional, you will learn to create local environment variables for actual testing.

This video is a continuation of the previous one and will cover datatypes and variables in programming in more detail. You will learn about complex data types such as arrays and objects, as well as how to declare and initialize...

This video is a continuation of the previous one and will cover more advanced techniques for assigning variables to each other in JavaScript.
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This clip is from the chapter "Introduction to Programming and JavaScript Basics...

In this lab video, you will learn how to serve a machine learning model using the Vertex AI Prediction service. You will use a pre-trained model and create an endpoint to make predictions on new data.
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This clip is from the...

In this video, you will learn about the commands used for system updates and repositories, that is, rpm and yum.

This video demonstrates the architecture and how to carry out the code using TensorFlow in collab and building a convolutional neural network.
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This clip is from the chapter "Convolutional Neural Networks" of the series...

This video demonstrates functional API versus sequential API.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural networks where...

This video demonstrates some basic operations in TensorFlow such as objects and we will apply some mathematical operations to the Tensor objects.
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This clip is from the chapter "Artificial Neural Networks" of the series...

Long short-term memory (LSTM) is an artificial recurrent neural network (RNN) architecture used in the field of deep learning. LSTM networks are well-suited to classifying, processing, and making predictions based on time series data...

Gated recurrent units (GRUs) are a gating mechanism in recurrent neural networks. GRUs have been shown to exhibit better performance on certain smaller and less frequent datasets.
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This clip is from the chapter "Recurrent...

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.
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NLP is a tool for structuring data in a way that AI systems can process that deals with language. NLP uses AI to 'read' through a document and extract key information.
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This clip is from the chapter "Recurrent Neural Networks"...

This video demonstrates convolutional operations in 1-dimension.
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This clip is from the chapter "Convolutional Neural Networks" of the series "Fundamentals in Neural Networks".This section explains convolutional neural...

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...

This video demonstrates how to build a deeper and wider neural network model.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section explains artificial neural...

This video explains the cross-entropy function, which is designed under the assumption that the variable you are trying to predict is binary.
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This clip is from the chapter "Artificial Neural Networks" of the series...

This video explains the role of the activation function, which is an interesting phenomenon in the design of neural networks.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural...

This video explains backward propagation, which is defined by the optimization problem called the gradient descent algorithm.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural...

This video explains forward propagation and will dive deeper into the architecture of neural networks.
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This clip is from the chapter "Artificial Neural Networks" of the series "Fundamentals in Neural Networks".This section...

In this video, you will learn how to manage application configuration using environment variables. We will discuss best practices for handling configuration in your application and how to securely store sensitive information such as...

In this video, we will explore the principles and concepts of hexagonal architecture, including ports and adapters, and how it can be used to design flexible and maintainable applications in Go.
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This clip is from the chapter...

In this video, let's look at records.

In this video, you will learn about the Java abstract class with puzzles.

In this video, you will learn that an object is at the top of the inheritance hierarchy.