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Item number: 137129713

Deep Learning for NLP Training

Item number: 137129713

Deep Learning for NLP Training

159,00 192,39 Incl. tax

Deep Learning for NLP E-Learning Training Certified Teachers Exam Quizzes Assessments Test Exam Live Labs Tips Tricks Certificate.

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Deep Learning for NLP E-Learning

Order this unique E-Learning course Deep Learning for NLP online, 1 year 24/7 access to rich interactive videos, speech, progress monitoring through reports and tests per chapter to test the knowledge directly.

Course content

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: 1 Hour, 56 Minutes
  • 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
Language English
Qualifications of the Instructor Certified
Course Format and Length Teaching videos with subtitles, interactive elements and assignments and tests
Lesson duration 9 Hours
Progress monitoring Yes
Access to Material 365 days
Technical Requirements Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge.
Support or Assistance Helpdesk and online knowledge base 24/7
Certification Certificate of participation in PDF format
Price and costs Course price at no extra cost
Cancellation policy and money-back guarantee We assess this on a case-by-case basis
Award Winning E-learning Yes
Tip! Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform.

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