TensorFlow is a powerful and popular deep learning library, and Keras is a high-level API built on top of TensorFlow that makes it easier to build and train deep learning models. Here are some common types of deep learning models that you can build using the tf.keras API: These are just a few of the […]
A Simple Guide to Convolutional Neural Networks
Convolutional Neural Networks (CNNs) have revolutionized the field of deep learning in recent years. They are a type of neural network that is especially effective for image recognition tasks, but can also be applied to other types of data, such as audio and text. In this article, we will provide a simple guide to CNNs, […]
Building a Deep Learning Model: A Step-by-Step Guide
Deep learning is a subset of machine learning that uses neural networks to perform complex tasks such as image recognition, natural language processing, and speech recognition. In this tutorial, we will walk through the steps to build a deep learning model using Python and Keras. Step 1: Set up the Environment Before we begin building […]
Data Augmentation: Techniques and Best Practices for Machine Learning and Computer Vision
Data Augmentation is a technique used in machine learning and computer vision to artificially increase the size of a dataset by creating new, slightly modified versions of existing data. It is typically done by applying various transformations such as rotation, cropping, scaling, flipping, adding noise, and more, to the original data. The resulting augmented data […]
Python Regex Guide
Regular expressions (also known as regex or regexp) are a sequence of characters that define a search pattern. They are a powerful tool used to match patterns in text, allowing you to search for and extract specific information from a string of text. In a regular expression, you can use metacharacters to define rules for […]
Deep Learning FAQs
Introduction Deep Learning is a subset of Artificial Intelligence that uses algorithms to learn from data and make decisions. It is used in many areas, such as computer vision, natural language processing, and robotics. What is the difference between Deep Learning and Machine Learning? Deep learning and machine learning are two of the most popular […]
Data Science in Malaysia: Opportunities and Challenges
Data science is the practice of using scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. It is both an interdisciplinary and a highly technical field, involving skills such as machine learning, predictive modelling, natural language processing, text mining, statistical modelling, data mining and visualization. Data science is […]
20 Pandas Tricks and Code
Pandas is an open-source library for data analysis and manipulation in Python. It provides data structures for efficiently storing large datasets and tools for working with them in a user-friendly manner. The primary data structure in Pandas is the “DataFrame,” which is a two-dimensional, labeled data structure with columns that can be of different types. […]
Google Colab GPU for Beginner
Google Colab GPU is a free cloud service offered by Google that allows users to run their code on a remote GPU. This service is available to all users, and no setup is required. It is primarily used for interactive use cases and provides users with access to more reliable resources than other free cloud […]
Data Communicator/ Storyteller with Python
A Data Communicator or Storyteller is a professional who specializes in presenting complex data in a simple, clear, and engaging manner. The role involves collecting and analyzing data, creating visualizations and other forms of content that can help communicate insights and findings in a way that is easy to understand and memorable. The goal is […]
