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Deep learning on computational biology and bioinformatics tutorial: from DNA to protein folding and alphafold2
A self-complete guide for understanding biology concepts that are necessary for applying deep learning in biology and bioinformatics focused on protein folding and alphafold2 related stuff
Speech Recognition: a review of the different deep learning approaches
Explore the most popular deep learning architecture to perform automatic speech recognition (ASR). From recurrent neural networks to convolutional and transformers.
Grokking self-supervised (representation) learning: how it works in computer vision and why
A general perspective on understanding self-supervised representation learning methods.
A complete Weights and Biases tutorial
Learn about the Weights and Biases library with a hands-on tutorial on the different features and visualizations.
Top Resources to start with Computer Vision and Deep Learning
A curated list of the best courses, books and blog to learn computer vision with deep learning methods
A complete Hugging Face tutorial: how to build and train a vision transformer
Learn about the Hugging Face ecosystem with a hands-on tutorial on the datasets and transformers library. Explore how to fine tune a Vision Transformer (ViT)
Regularization techniques for training deep neural networks
Discover what is regularization, why it is necessary in deep neural networks and explore the most frequently used strategies: L1, L2, dropout, stohastic depth, early stopping and more
An introduction to Recommendation Systems: an overview of machine and deep learning architectures
Learn about the SOTA recommender system models. From collaborative filtering and factorization machines to DCN and DLRM
Speech synthesis: A review of the best text to speech architectures with Deep Learning
Explore the most popular deep learning models to perform text to speech (TTS) synthesis