.lazyload-placeholder { display: none; } Deep Learning frameworks like Keras lower the barrier to entry for the masses and democratize the development of DL models to unexperienced folk, who can rely on reasona...Learn More

.lazyload-placeholder { display: none; } Most practitioners, while first learning about Convolutional Neural Network (CNN) architectures - learn that it's comprised of three basic segments: Convolutional Layer...Learn More

.lazyload-placeholder { display: none; } Transformers, even though released in 2017, have only started gaining significant traction in the last couple of years. With the proliferation of the technology through ...Learn More

.lazyload-placeholder { display: none; } Introduction There are plenty of guides explaining how transformers work, and for building an intuition on a key element of them - token and position embedding. Position...Learn More

Introduction Deep Learning models are very versatile and powerful - they're routinely outperforming humans in narrow tasks, and their generalization power is increasing at a rapid rate. New models are being rel...Learn More

Note: These are the musings of a man - flawed and prone to misjudgement. The point of writing this is to promote a discussion on the topic, not to be right or contrarian. If an...Learn More

Introduction Keras is a high-level API, typically used with the Tensorflow library, and has lowered the barrier to entry for many and democratized the creation of Deep Learning models and systems. When just sta...Learn More

In this short series of guides, we'll be taking a look at a hands-on house price prediction. We'll be using Keras, the deep learning API built on top of TensorFlow to train a neural network to predict the price...Learn More

Autoencoders for Image Reconstruction in Python and Keras Introduction Nowadays, we have huge amounts of data in almost every application we use - listening to music on Spotify, browsing friend's images on Inst...Learn More

Deep Learning in Keras - Data Preprocessing Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great advances in t...Learn More

Deep Learning in Keras - Building a Deep Learning Model Introduction Deep learning is one of the most interesting and promising areas of artificial intelligence (AI) and machine learning currently. With great a...Learn More

Time Series Analysis with LSTM using Python's Keras Library Introduction Time series analysis refers to the analysis of change in the trend of the data over a period of time. Time series analysis has a variety ...Learn More