skip to content
Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems Preview this item
ClosePreview this item
Checking...

Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems

Author: Matthew Lamons; Rahul Kumar.; Abhishek Nagaraja
Publisher: Birmingham : Packt Publishing Ltd, 2018.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more.
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Lamons, Matthew.
Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems.
Birmingham : Packt Publishing Ltd, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Matthew Lamons; Rahul Kumar.; Abhishek Nagaraja
ISBN: 9781789134759 1789134757
OCLC Number: 1065408463
Notes: Chapter 7: Building Speech Recognition with DeepSpeech2.
Description: 1 online resource (465 pages)
Contents: Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Building Deep Learning Environments; Building a common DL environment; Get focused and into the code!; DL environment setup locally; Downloading and installing Anaconda; Installing DL libraries; Setting up a DL environment in the cloud; Cloud platforms for deployment ; Prerequisites; Setting up the GCP; Automating the setup process; Summary; Chapter 2: Training NN for Prediction Using Regression; Building a regression model for prediction using an MLP deep neural network. Exploring the MNIST datasetIntuition and preparation; Defining regression; Defining the project structure; Let's code the implementation!; Defining hyperparameters; Model definition; Building the training loop; Overfitting and underfitting ; Building inference; Concluding the project; Summary; Chapter 3: Word Representation Using word2vec; Learning word vectors; Loading all the dependencies; Preparing the text corpus; Defining our word2vec model; Training the model; Analyzing the model; Plotting the word cluster using the t-SNE algorithm. Visualizing the embedding space by plotting the model on TensorBoardBuilding language models using CNN and word2vec; Exploring the CNN model; Understanding data format; Integrating word2vec with CNN; Executing the model ; Deploy the model into production; Summary; Chapter 4: Building an NLP Pipeline for Building Chatbots; Basics of NLP pipelines; Tokenization; Part-of-Speech tagging; Extracting nouns; Extracting verbs; Dependency parsing; NER; Building conversational bots; What is TF-IDF?; Preparing the dataset; Implementation; Creating the vectorizer; Processing the query; Rank results. Advanced chatbots using NERInstalling Rasa; Preparing dataset; Training the model; Deploying the model; Serving chatbots; Summary; Chapter 5: Sequence-to-Sequence Models for Building Chatbots; Introducing RNNs; RNN architectures; Implementing basic RNNs; Importing all of the dependencies; Preparing the dataset; Hyperparameters; Defining a basic RNN cell model; Training the RNN Model; Evaluation of the RNN model; LSTM architecture; Implementing an LSTM model; Defining our LSTM model; Training the LSTM model; Evaluation of the LSTM model; Sequence-to-sequence models; Data preparation. Defining a seq2seq modelHyperparameters; Training the seq2seq model; Evaluation of the seq2seq model; Summary; Chapter 6: Generative Language Model for Content Creation; LSTM for text generation; Data pre-processing; Defining the LSTM model for text generation; Training the model; Inference and results; Generating lyrics using deep (multi-layer) LSTM; Data pre-processing; Defining the model; Training the deep TensorFlow-based LSTM model; Inference; Output; Generating music using a multi-layer LSTM; Pre-processing data; Defining the model and training; Generating music; Summary.
Responsibility: Matthew Lamons, Rahul Kumar and Abhishek, Nagaraja.

Abstract:

Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.

Similar Items

Related Subjects:(1)

Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/1065408463> # Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems
    a schema:CreativeWork, schema:Book, schema:MediaObject ;
    library:oclcnum "1065408463" ;
    library:placeOfPublication <http://id.loc.gov/vocabulary/countries/enk> ;
    library:placeOfPublication <http://experiment.worldcat.org/entity/work/data/5551767045#Place/birmingham> ; # Birmingham
    rdfs:comment "Warning: This malformed URI has been treated as a string - 'https://img1.od-cdn.com/ImageType-100/6135-1/{A31483E8-BDA8-4D41-A3B0-6AE68E2FB148}Img100.jpg'" ;
    schema:about <http://experiment.worldcat.org/entity/work/data/5551767045#Topic/python_computer_program_language> ; # Python (Computer program language)
    schema:about <http://dewey.info/class/005.133/e23/> ;
    schema:bookFormat schema:EBook ;
    schema:contributor <http://experiment.worldcat.org/entity/work/data/5551767045#Person/rahul_kumar> ; # Rahul Kumar.
    schema:contributor <http://experiment.worldcat.org/entity/work/data/5551767045#Person/nagaraja_abhishek> ; # Abhishek Nagaraja
    schema:creator <http://experiment.worldcat.org/entity/work/data/5551767045#Person/lamons_matthew> ; # Matthew Lamons
    schema:datePublished "2018" ;
    schema:description "Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more."@en ;
    schema:description "Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Building Deep Learning Environments; Building a common DL environment; Get focused and into the code!; DL environment setup locally; Downloading and installing Anaconda; Installing DL libraries; Setting up a DL environment in the cloud; Cloud platforms for deployment ; Prerequisites; Setting up the GCP; Automating the setup process; Summary; Chapter 2: Training NN for Prediction Using Regression; Building a regression model for prediction using an MLP deep neural network."@en ;
    schema:exampleOfWork <http://worldcat.org/entity/work/id/5551767045> ;
    schema:genre "Electronic books"@en ;
    schema:inLanguage "en" ;
    schema:isSimilarTo <http://worldcat.org/entity/work/data/5551767045#CreativeWork/python_deep_learning_projects_9_projects_demystifying_neural_network_and_deep_learning_models_for_building_intelligent_systems> ;
    schema:name "Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems"@en ;
    schema:productID "1065408463" ;
    schema:publication <http://www.worldcat.org/title/-/oclc/1065408463#PublicationEvent/birmingham_packt_publishing_ltd_2018> ;
    schema:publisher <http://experiment.worldcat.org/entity/work/data/5551767045#Agent/packt_publishing_ltd> ; # Packt Publishing Ltd
    schema:url <https://www.overdrive.com/search?q=A31483E8-BDA8-4D41-A3B0-6AE68E2FB148> ;
    schema:url <http://public.ebookcentral.proquest.com/choice/publicfullrecord.aspx?p=5573401> ;
    schema:url <https://samples.overdrive.com/?crid=a31483e8-bda8-4d41-a3b0-6ae68e2fb148&.epub-sample.overdrive.com> ;
    schema:url <http://public.eblib.com/choice/publicfullrecord.aspx?p=5573401> ;
    schema:url "https://img1.od-cdn.com/ImageType-100/6135-1/{A31483E8-BDA8-4D41-A3B0-6AE68E2FB148}Img100.jpg" ;
    schema:workExample <http://worldcat.org/isbn/9781789134759> ;
    wdrs:describedby <http://www.worldcat.org/title/-/oclc/1065408463> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/5551767045#Agent/packt_publishing_ltd> # Packt Publishing Ltd
    a bgn:Agent ;
    schema:name "Packt Publishing Ltd" ;
    .

<http://experiment.worldcat.org/entity/work/data/5551767045#Person/lamons_matthew> # Matthew Lamons
    a schema:Person ;
    schema:familyName "Lamons" ;
    schema:givenName "Matthew" ;
    schema:name "Matthew Lamons" ;
    .

<http://experiment.worldcat.org/entity/work/data/5551767045#Person/nagaraja_abhishek> # Abhishek Nagaraja
    a schema:Person ;
    schema:familyName "Nagaraja" ;
    schema:givenName "Abhishek" ;
    schema:name "Abhishek Nagaraja" ;
    .

<http://experiment.worldcat.org/entity/work/data/5551767045#Person/rahul_kumar> # Rahul Kumar.
    a schema:Person ;
    schema:givenName "Rahul Kumar" ;
    schema:name "Rahul Kumar." ;
    .

<http://experiment.worldcat.org/entity/work/data/5551767045#Topic/python_computer_program_language> # Python (Computer program language)
    a schema:Intangible ;
    schema:name "Python (Computer program language)"@en ;
    .

<http://worldcat.org/entity/work/data/5551767045#CreativeWork/python_deep_learning_projects_9_projects_demystifying_neural_network_and_deep_learning_models_for_building_intelligent_systems>
    a schema:CreativeWork ;
    rdfs:label "Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems." ;
    schema:description "Print version:" ;
    schema:isSimilarTo <http://www.worldcat.org/oclc/1065408463> ; # Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems
    .

<http://worldcat.org/isbn/9781789134759>
    a schema:ProductModel ;
    schema:isbn "1789134757" ;
    schema:isbn "9781789134759" ;
    .

<http://www.worldcat.org/title/-/oclc/1065408463>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
    schema:about <http://www.worldcat.org/oclc/1065408463> ; # Python Deep Learning Projects : 9 Projects Demystifying Neural Network and Deep Learning Models for Building Intelligent Systems
    schema:dateModified "2019-09-05" ;
    void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.