A Comprehensive Guide to Performance, Scalability, and Advanced Features — TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks, and for good reason. Both frameworks offer a wide range of functionality for building and training deep learning models and have been widely adopted by the research and development community. However, as an advanced user, you may…

An exhaustive survey on algorithms for classifying time series — Classifying time series is one of the common tasks for applying machine and deep learning models. This post will cover 8 types of time series classification methods and modeling techniques for classifying time series data. …

generating oil paintings, realistic photos, and more — In the last couple of months, text-to-image generating AI models gained major popularity due to their ability to generate magnificent drawings, 3D rendering, and more from a single description. Here I would like to present 10 online platforms and websites which make the creation of such images from text prompts…

Comparing the performance and ease of use for ML tasks — The new MacBook Pros gave rise to hope, especially in the machine learning community, that neural networks with sometimes large amounts of data could now be trained locally on a laptop. As soon as they were released, I was curious about their performance in tackling ML-specific tasks. Being a long-time…

If you want to get into Natural Language Processing and Computer Vision — Deep Learning is one of the most rapidly evolving fields in computer science today. This technology has the potential to change the way we live and work, and it is already being used in a wide range of applications, from self-driving cars to medical diagnoses. As a result, a constant…

Achieving Peak Performance: Mastering Control and Generalization — Today, we’re going to explore a crucial decision that researchers and practitioners face when training machine and deep learning models: Should we stick to a fixed custom dataset or embrace the power of cross-validation techniques? Data is the lifeblood of ML and DL models, serving as the foundation upon which…

Benefits and Challenges Explained — Python is one of the most popular programming languages among developers, thanks to its simplicity, versatility, and extensive libraries and frameworks. However, like any software, Python needs to be updated from time to time to ensure optimal performance, security, and compatibility with the latest packages and dependencies. In this blog…

Comparing the Pytorch performance and ease of use for ML tasks — After my first article about ‘Google Colab Pro Vs MacBook Pro M1 Max 24 Core’ where I covered some specs and compared the TensorFlow training and inference speeds, I wanted to do the same for Pytorch. The new MacBook Pros gave rise to hope, especially in the machine learning community…

As a machine learning enthusiast, I know firsthand how important it is to have access to high-quality datasets. Datasets serve as the foundation for any machine learning project, providing the raw material that algorithms use to learn patterns and make predictions. Without them, machine learning models are unlikely to produce…