Both PyTorch and TensorFlow have been used in industry for a long time. These two frameworks are the best in the features they provide for deep learning. So what should you learn? In this article, I’ll walk you through what…
The use of deep neural architectures instead of the classic machine learning algorithms to train bigger models that can mimic the human brain while solving complex problems that involve heavy computing is known as deep learning. In this article, I…
When we use deep neural architecture instead of classic machine learning algorithms, it’s nothing but deep learning. In this article, I’m going to introduce you to some of the best deep learning projects with Python that you should try as…
Many machine learning algorithms can be used to solve complex problems that require a large amount of data with a large number of features, but deep learning can outperform all algorithms. So to understand where we can use deep learning…
Deep learning is a subset of Artificial Intelligence, which is an area that relies on learning and improving on its own by examining computer algorithms. While machine learning uses simpler concepts, these models work with artificial neural networks, designed to…
In this article, I will take you through a brief explanation of Image Segmentation in Deep Learning. I will only explain the concept behind the image segmentation here in this article. If you want to go through the practical part…
Being a practitioner in Machine Learning, you must have gone through an image classification, where the goal is to assign a label or a class to the input image. Now, suppose you want to get where the object is present…
Machine Learning Pipelines performs a complete workflow with an ordered sequence of the process involved in a Machine Learning task. In most of the functions in Machine Learning, the data that you work with is barely in a format for…
TensorBoard is a great interactive visualization tool that you can use to view the learning curves during training, compare learning curves between multiple runs, visualize the computation graphs, analyze training statistics, view images generated by your model, visualize complex multidimensional…
Most of the keyboards in smartphones give next word prediction features; google also uses next word prediction based on our browsing history. So a preloaded data is also stored in the keyboard function of our smartphones to predict the next…