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Data augmentation recipes in tf.keras image-based models
Learn about different ways of doing data augmentation when training an image classifier in tf.keras.
image-classification deep-learning data-augmentation computer-vision
Cycle GAN in TensorFlow 2.0 with Custom Loops
Implementation of "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks" by Jun-Yan Zhu et al.
generative-adversarial-networks computer-vision image-to-image-translation unpaired-images
Making music and art using machine learning.
music-generation art music magenta
Illustrated: Self-Attention
Step-by-step guide to self-attention with illustrations and code.
self-attention attention pytorch transformers
Semantic Segmentation + Background Removal + Style Transfer
Running multiple TF Lite models to perform semantic segmentation, remove background, and apply style transfer.
computer-vision tf-lite code notebook
Introduction to NLP using Fastai
Implementing and decoding the revolutionary ULMFiT approach to train a language model on any downstream NLP task.
natural-language-processing fastai ulmfit sentiment-analysis
Weight Poisoning Attacks on Pre-trained Models
How Bert can be infused with nefarious behavior, even after fine-tuning.
bert adversarial-attacks adversarial-learning attention
A Tutorial on VAEs: From Bayes' Rule to Lossless Compression
An overview of the VAE and a tour through various derivations and interpretations of the VAE objective.
variational-autoencoders autoencoders bayes-rule loseless-compression
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