Recurrent Models Overview

Recurrent Layers: SimpleRNN, LSTM, GRU

What’s SimpleRNN?

Text Segmentation

Normalization, Tokenization, Sentence Segmentation + Useful Methods

Convolutional Models for Sequential Data

Easing Into Recurrent Neural Networks

What are Context Free Languages?

Grammars, Derivation, Expressiveness, Chomsky Hierarchy

Previously, we talked about how languages are studied using the notion of a formal language. Formal language is a mathematical construction that uses sets…

Convolutional Models Overview

Convolutions, Kernels, Downsampling & Properties

Working Understanding of Convolutional Models

Creating, Preprocessing, Data Augmentation, Feature…

Language Processing with Recurrent Models

Bidirectional RNNs, Encoding, Word Embedding and Tips

Inputting & PreProcessing Text

Input Methods, String & Unicode, Regular Expression Use Cases

Language Generation with Recurrent Models

LSTM, Sampling, Smart Code Completion Tool