Articles, papers, posts which are worth reading in the fields of AI, ML, DL, CV, DS

AI|DS|ML|DL|CV

• Doing AI with less Data

CNN, RNN and LSTM

• A Critical Review of Recurrent Neural Networks for Sequence Learning
• Written Memories: Understanding, Deriving and Extending the LSTM
• Understanding LSTM Networks
• Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
• Le Viet Quoc talks about RNN on sequence learning
• Part 1: Nonlinear Classifiers and The Backpropagation Algorithm
• Part 2: Autoencoders, Convolutional Neural Networks and Recurrent Neural Networks
• Videos and Descriptions (courtesy of Gaurav Trivedi)
• Attention and Augmented Recurrent Neural Networks
• An Intuitive Explanation of Connectionist Temporal Classification
• Unreasonable Effectiveness of Recurrent Neural Networks ## Blog ## Search and sort through ~30,000 Arxiv papers on Machine Learning
• Sequence Modeling With CTC
• Understanding Neural Arithmetic Logic Units

TF

• Complete code examples for Machine Translation with Attention, Image Captioning, Text Generation, and DCGAN implemented with tf.keras and eager execution
• Training and serving a realtime mobile object detector in 30 minutes with Cloud TPUs [android app]
• Train a model in tf.keras with Colab, and run it in the browser with TensorFlow.js
• Training and Serving ML models with tf.keras (to predict labels for satellite images of the Amazon forest)[tf.data introduction]

Misc

• Can an AI startup use TensorFlow or better to create own tools?, 2
• Latex Guides 1 - 2