Natural Language Processing with Deep Learning and TensorFlow

Dive into a comprehensive 54-minute conference talk on Natural Language Processing (NLP) with Deep Learning and TensorFlow. Explore NLP concepts, deep learning architectures, and hands-on applications using TensorFlow. Learn to create simple embeddings representations, apply them to classification tasks, and build models that leverage document context. Gain practical experience through interactive labs, covering topics such as chatbots, sentiment analysis, text classification, vocabulary, embeddings, neural network architecture, and recurrent neural networks. Discover how to generate Shakespeare-like text and structure machine learning projects at scale. By the end of this talk, acquire a solid understanding of deep learning concepts in NLP and the skills to create classifying models using TensorFlow.

Intro
About me
Introduction to Natural Language Processing
Expectations
Chatbots
NLP tasks
Sentiment analysis
Text classification
Dataset
Machine Learning Classification Problem
Vocabulary
Embeddings
Tensorflow Hub
Neural Network Architecture
Estimators
Shakespeare-like text generation
Context
Recurrent Neural Networks
Data representation
Input & Output
Machine Learning at Scale
Project structure
Running a training job