Have you ever been working with TensorFlow and needed to use your tensor data in a non-TensorFlow environment? I’ve been there many times during my decade-plus career as a Python developer. One of the most common operations I perform is converting TensorFlow tensors to NumPy arrays. This conversion is essential when you need to use … Read more >>
When working on a large-scale TypeScript project, I got some runtime errors, all due to incorrect type usage. TypeScript adds static types to JavaScript, but just using it isn’t enough; you need to understand how its type-checking features work to catch bugs early and write safer code. In this tutorial, I’ll explain the different ways … Read more >>
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 >>
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