Deep Learning for NLP E-Learning Training 

Bestel deze unieke E-Learning cursus Deep Learning for NLP online, 1 jaar 24/ 7 toegang tot rijke interactieve video’s, spraak, voortgangsbewaking door rapportages en testen per hoofdstuk om de kennis direct te toetsen.

Cursusinhoud

Deep Learning for NLP: Introduction

Course: 1 Hour, 18 Minutes

• Course Overview
• NLP with Deep Learning
• NLP Use Cases in Deep Learning
• Basic Deep Learning Frameworks
• Intermediate Deep Learning Frameworks
• Advanced Deep Learning Frameworks
• Introduction to Sentiment Data
• Using Deep Learning Pipelines for Sentiment Data
• Sentiment Analysis - Overview & Data
• Sentiment Analysis - EDA
• Sentiment Analysis - Pre-processing
• Sentiment Analysis - Modeling & Evaluation
• Sentiment Analysis - Creating Accuracy & Loss Graphs
• Course Summary

Deep Learning for NLP: Neural Network Architectures

Course: 2 Hours, 30 Minutes

• Course Overview
• Basic Architecture of a Neural Network
• Multilayer Perceptron (MLP)
• Recurrent Neural Network (RNN) Architecture
• Challenges in RNN
• Applications of Neural Network-based Architecture
• Introducing the Product Reviews Data
• Loading Product Reviews Data into Google Colaboratory
• Understanding Product Reviews Data
• Exploring Product Reviews Data
• Pre-processing Product Reviews Data
• Applying Feature Engineering - Word Representation
• Creating Vector Representations Using Word2vec
• Averaging Feature Vectors
• Creating Word Embeddings with Word2Vec
• Constructing a RNN Model with Word2vec Embeddings
• Using GloVe Vectors
• Product Reviews Classification Using RNN
• Course Summary

Deep Learning for NLP: Memory-based Networks

Course: 1 Hour, 27 Minutes

• Course Overview
• Introduction to Memory-based Networks
• Gated Recurrent Unit (GRU) Architecture
• Long Short-term Memory (LSTM) Architecture
• Fall of RNN versus Rise of LSTM
• Variants of LSTM networks
• Product Review Data Preparation for Modeling
• Product Review Data Classification Using GRU
• Product Review Data Classification Using LSTM
• Product Review Data Classification Using Bi-LSTM
• Result Comparison between RNN, GRU, and LSTM
• Course Summary

Deep Learning for NLP: Transfer Learning

Course: 2 Hours, 10 Minutes

• Course Overview
• Introduction to Transfer Learning
• Advantages and Challenges of Transfer Learning
• Role of Language Modeling in Transfer Learning
• Introduction to Basic Transfer Learning Models
• Intermediate Transfer Learning Models
• Advance Transfer Learning Models
• Building ELMo Embedding Layer for Reviews
• Creating ELMo an Model for Product Reviews
• Classifying Product Reviews Using ELMo
• Reshaping Data for the ELMo Embedding Layer
• Building a Language Model Using ULMFiT
• Implementing the Language Model Using ULMFiT
• Classifying Product Reviews Using ULMFIT & FastText
• Performing Result Comparison
• Course Summary

Deep Learning for NLP: GitHub Bug Prediction Analysis

• Course Overview
   
• Case Study: Introduction to GitHub Bug Prediction
• Case Study: Loading Data & Libraries
• Case Study: Understanding the Data
• Case Study: Basic Exploratory Data Analysis
• Case Study: Punctuation & Stop Word Analysis
• Case study: Advanced Data Preprocessing
• Case Study: Data Cleaning
• Case Study: Exploring Vectorization
• Case Study: Exploring Embeddings
• Case Study: Applying Deep Learning Modeling
• Case Study: Performing Model Comparison
• Course Summary