Articles, papers, posts which are worth reading in the fields of AI, ML, DL, CV, DS
- 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
- 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]
- Can an AI startup use TensorFlow or better to create own tools?, 2
- Latex Guides 1 - 2