While working on TypeScript, you may need to check if a variable is undefined to avoid errors in your code. For example, if you attempt to use a variable that has no value, your program may not function correctly. So, it’s important to know how to test if a variable is undefined before using it. … Read more >>
When working with TypeScript, one of the fundamental aspects to understand is variable declaration. The two primary keywords used for this purpose are let and var. While they might seem similar at first glance, they have significant differences that can impact the behavior of your code. This tutorial aims to provide a detailed comparison between … Read more >>
While working on a TypeScript project, I needed to display dates in the American format (MM/DD/YYYY) instead of the default ISO format (YYYY-MM-DD). TypeScript’s built-in Date object and the toLocaleString() method make this easy and no external libraries required. In this blog, I’ll show you how to format date as MM/DD/YYYY in TypeScript using toLocaleString(), … Read more >>
TypeScript, a superset of JavaScript, introduces static typing to the JavaScript ecosystem, enabling developers to catch errors early and write more maintainable code. Among the powerful features of TypeScript are types and interfaces, both of which allow you to define the shape of an object. However, choosing between them can be confusing for newcomers. In … Read more >>
While I was working on a deep learning project, I needed to access and manipulate individual elements within TensorFlow tensors. The challenge was that tensors are not as simple to iterate over as regular Python lists. After spending hours experimenting with different approaches, I discovered several effective methods to iterate over tensors in TensorFlow. In … Read more >>
Recently, I was working on a neural network project for predicting housing prices in California, and I needed to verify the dimensions of my tensors at various stages of the model. That’s when I realized how important TensorFlow’s get_shape() function is for debugging and building robust machine learning models. In this article, I’ll show you … Read more >>
Recently, I was working on a deep learning project where I needed to choose the right activation function for my neural network. The challenge was, there are so many options in TensorFlow, each with different properties and use cases. So, which one should I choose? In this guide, I’ll share everything I’ve learned about TensorFlow … Read more >>
When I was building a neural network to predict housing prices in California, I ran into a common issue: my model wasn’t learning effectively. The culprit? I hadn’t properly configured my gradient descent optimizer. Gradient descent is the backbone of neural network training, yet many developers struggle to implement it correctly in TensorFlow. In this … Read more >>
Recently, I was working on a project where I needed to build and train a neural network to predict housing prices in the US market. As I’ve discovered over my decade-plus career, TensorFlow is one of the most useful frameworks for this task. The issue is, getting started with neural networks can be intimidating. In … Read more >>
Recently, I was working on a project that required predicting housing prices in the US market. After exploring various options, I decided to use an artificial neural network built with TensorFlow. The problem was, I wasn’t sure where to start. TensorFlow offers numerous options, which can be overwhelming for beginners. In this article, I’ll walk … Read more >>
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