Techniques in Self-Attention Generative Adversarial Networks
Author(s): Sherwin Chen Originally published on Towards AI. Self Attention GAN (SAGAN) U+007C Towards AI Discussion about different approaches of SAGAN like spectral normalization, conditional batch normalization, etc. Image generated by my implementation of SAGAN on celebA dataset after 120k iterations Introduction …
Cross-lingual Language Model
Author(s): Edward Ma Originally published on Towards AI. Discussing XLMs and unsupervised cross-lingual word embedding by multilingual neural language models Photo by Edward Ma on Unsplash A pre-trained model is proven to improve the downstream problem. Lample and Conneau propose two new …
Introduction
Author(s): Sherwin Chen Originally published on Towards AI. A climbing snail trying to see the outside world U+007C Source: Pinterest Diving Into SNAIL U+007C Towards AI A Simple Neural Attentive Meta-Learner — SNAIL Traditional reinforcement learning algorithms train an agent to solve …
Unlock the potential
Author(s): Maxime Pruvost Originally published on Towards AI. Data Accessibility Credit: Frank V. Technologies powered by AI are being applied to some of the world’s most complex human-development issues. AI has considerable potential to help humans. Today we mostly hear about how …
Attention Is All You Need — Transformer
Author(s): Sherwin Chen Originally published on Towards AI. Positional Encoding Top highlight from https://wall.alphacoders.com/big.php?i=845641 Recurrent Neural Networks(RNNs), Long Short-Term Memory(LSTM) and Gated Recurrent Units(GRU) in particular, have been firmly established as state-of-the-art approaches in sequence modeling and transduction problems. Such models typically …
Getting the data
Author(s): Avishek Nag Originally published on Towards AI. Comparative study of different vector space models & text classification techniques like XGBoost and others In this article, we will discuss different text classification techniques to solve the BBC new article categorization problem. We …
Terms of Service
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Introduction to the Architecture of Recurrent Neural Networks (RNNs)
Author(s): Manish Nayak Originally published on Towards AI. RNNs Architecture U+007C Towards AI Introduction In my previous post, I explain different ways of representing text as a vector. you can read about Word2Vec, Doc2Vec and you can also find a jupyter notebook …
References
Author(s): Joseph Reddy Originally published on Towards AI. Machine Learning, Python End to End Model of Data Analysis & Prediction Using Python on SAP HANA Table Data This blog helps to connect with SAP HANA DB (Version 1.0 SPS12) then extracts the …
Comparing Neural Network Architectures
Author(s): Yan Gobeil Originally published on Towards AI. Comparing NN architectures through a language classifier, using Google Colab After reading François Chollet’s wonderful book Deep Learning with Python I became curious about the different neural network architectures and which one is the …
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