Bijay Kumar 
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 >>
Recently, while working on a TypeScript project, I needed to find a date a few days before an important event, like when to start preparing or send reminders. If I had changed the dates directly, it could have caused issues in the code. So, I created a reusable function that subtracts days using TypeScript’s Date … Read more >>
In my journey as a Python developer, I’ve found that TensorFlow has become one of the most useful libraries for building and training neural networks. But before you can train any neural network, you need to compile it properly. Compiling a neural network in TensorFlow is like preparing your car before a race. Without proper … Read more >>
As a developer, I was working on a deep learning project where I needed to understand the fundamental building blocks of TensorFlow. The issue is, many developers jump straight into using TensorFlow without truly understanding what tensors are and how they work. This can lead to confusion when debugging models or optimizing performance. In this … Read more >>
While working on a TypeScript project, I needed to store values in an object where the keys represented different user roles, such as Admin, Editor, and Viewer. Instead of using plain strings (which can cause typos or mistakes), I used a TypeScript enum to define the roles. This made the code more readable, safer, and … Read more >>
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