Creating DCGAN with TensorFlow 2 and Keras
Generative Machine Learning is a really interesting area of research that investigates how Machine Learning (and by consequence, Deep Learning)...
Category: Frameworks
Creating DCGAN with PyTorch
Generative Adversarial Networks have been able to produce images that are shockingly realistic (think This Person Does Not Exist). For...
Easy grammar error detection & correction with Machine Learning
Machine learning in general and deep learning in particular has boosted Natural Language Processing. A variety of models has allowed...
Convolutional Neural Networks with PyTorch
Deep neural networks are widely used to solve computer vision problems. Frequently, their performance is much better compared to Multilayer...
Using Dropout with PyTorch
The Dropout technique can be used for avoiding overfitting in your neural network. It has been around for some time...
How to label your dataset for YOLO Object Detection
The YOLO object detector family – where YOLO stands for You Only Look Once – is one of the most...
Batch Normalization with PyTorch
One of the key elements that is considered to be a good practice in a neural network is a technique...
Creating Interactive Visualizations of TensorFlow Keras datasets
Data scientists find some aspects of their job really frustrating. Data preprocessing is one of them, but the same is...
Easy Chatbot with DialoGPT, Machine Learning and HuggingFace Transformers
These past few years, machine learning has boosted the field of Natural Language Processing via Transformers. Whether it’s Natural Language...
Transformers for Long Text: Code Examples with Longformer
Transformer models have been boosting NLP for a few years now. Every now and then, new additions make them even...
