Example 1: Extract a Table from PDF File Using Python
Author(s): Benjamin Obi Tayo Ph.D. Originally published on Towards AI. Demonstration of parsing PDF files using Python & R API Top highlight Data is key for any analysis in data science, be it inferential analysis, predictive analysis, or prescriptive analysis. The predictive …
Baby Steps to TensorFlow
Author(s): Lawrence Alaso Krukrubo Originally published on Towards AI. Tutorial on Creating a Simple TensorFlow Model U+007C Towards AI Training your first Tensorflow based Neural Network model for Celsius to Fahrenheit conversion TensorFlow is an open-source machine learning library for research and …
Unified Language Model Pre-training for Natural Language Understanding and Generation
Author(s): Edward Ma Originally published on Towards AI. Using UNILM to tackle natural language understanding (NLU) and natural language generation (NLG) Photo by Louis Hansel on Unsplash Recent state-of-the-art NLP pre-trained models also use a language model to learn contextualized text representation. …
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 …
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 …
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 …
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Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Originally published on Towards AI. Top highlight Machine Learning, Programming, Python Update: I am overwhelmed by the positive feedback this writeup has received, especially by people in the AI community I look up to. I am also grateful to …
Nothing but NumPy: Understanding & Creating Neural Networks with Computational Graphs from Scratch
Author(s): Rafay Khan Understanding new concepts can be hard, especially these days when there is an avalanche of resources with only cursory explanations for complex concepts. This blog is the result of a dearth of detailed walkthroughs on how to create neural …
Beginners Guide to Convolutional Neural Network from Scratch — Kuzushiji-MNIST
Author(s): Satsawat Natakarnkitkul Originally published on Towards AI. Machine Learning Figure 1: Convolutional Neural Network (Source: https://en.wikipedia.org/wiki/Convolutional_neural_network) In the previous post, which you can check it out here, I have demonstrated various dimensional reduction techniques on Kuzushiji-MNIST (KMNIST) data set. In this …
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