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Mastering Nlp With Deep Learning In Keras




Deep Learning Online Training


Working Professionals and Freshers


Both Classroom and Online Classes


Week Days and Week Ends

Duration :

60 Days

Deep Learning Objectives

•How to secure Deep Learning services.
•Deep Learning Script How to apply and use it.
•Become a better developer by mastering Deep Learning fundamentals
•Students will learn how to build apps using Deep Learning.Learn how to design and create a Deep Learning app
•Learn how to write tests for error handling in Deep Learning.
•You’ll learn how to solve well known standard functions in Deep Learning.
•Learn Deep Learning – A super fun way to improve your programming skills
•This course is designed for any graduates as well as Software Professionals who are willing to learn Deep Learning.

mastering nlp with deep learning in keras Course Highlights

•Free Aptitude classes & Mock interviews
•Certificate after completion of the course
•Highly competent and skilled IT instructors
•Personal attention and guidance for every student
•Fast track and Sunday Batches available on request
•Hands On Experience – will be provided during the course to practice
•One-on-one training, online training, team or Corporate training can be provided
•We help the students in building the resume boost their knowledge by providing useful Interview tips

Who are eligible for Deep Learning

•Angularjs, Core Java, .Net, Ui Development, Ssis, Ssrs, Mobility Architect, Java Architect, Devops, Android Developer, Ios Developer
•Cognos Developer, Ab initio developer, Java Developers, .net Architects, Informatica, MSBI, Tivoli Monitoring, Oracle Apps functional and technical, change
•Java Programmer, Ui Designer, Web Developer, Web Designer, Automation Testing, graphic designer visualiser, java script frameworks, PHP
•Php Developer, Web Designing, Telecaller, Web Designer, Css, Javascript, Ajax, Bootstrap, Mysql, Web Technologies, Web Development, Ui Developer
•Software Development, Software Testing, Solution Design, software, Blueprism Developer, Rpa Developer


Installation and Setup
•Before starting read these important guidelines!!
•Resources: Codes, Datasets, Papers and more
•Package Installation and Setup
•Installing TensorFlow for CPU/GPU/Cuda and Keras
•Deep Learning Overview
•Deep Learning Concept
•Gradient Descent
•Vanishing and Exploding Gradients
•Beyond Gradient Descent
•Loss Functions
•Activation Functions
•Batch Normalization
•Convolutional Layers
•Deep Learning for NLP
•Word Embeddings on Sentiment Analysis
•Visualizing Word Embeddings
•Word2Vec Model
•The GloVe model
•Yelp Comments Classification with GloVe part 1
•Yelp Comments Classification with GloVe part 2
•FastText model
•FastText with Gensim
•FastText on Google Collaboratory
•RNN-GRU-LSTM models
•Sentiment Analysis with GRU, CuDNNGRU, LSTM, CuDNNLSTM-part 1
•Sentiment Analysis with GRU, CuDNNGRU, LSTM, CuDNNLSTM-part 2
•1D Convolutional Layer for NLP
•Sentiment Analysis with 1D ConvNet part 1
•Sentiment Analysis with 1D ConvNet part 2
•Seq2Seq and the Attention Mechanism
•Encoder-Decoder with Attention
•Universal Sentence Encoder
•Semantic Similarity with TF-Hub Universal Encoder
•Text Classification with TF-Hub Universal Encoder
•Text Generation
•Emotion recognition with LSTM and Attention part 2
•Emotion recognition with LSTM and Attention part 1
•Neural Machine Translation with Seq2Seq
•Improving Neural Machine Translation part 2
•Improving Neural Machine Translation part 1
•Developing a Chat Bot part 1
•Developing a Chat Bot part 2