Search result for Word embeddings Online Courses & Certifications
Get Course Alerts by Email
Natural Language Processing with Probabilistic Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.7
Approx. 28 hours to complete
d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model. Word embeddings with neural networks Basic Word Representations Word Embeddings How to Create Word Embeddings Word Embeddings Extracting Word Embedding Vectors Evaluating Word Embeddings: Intrinsic Evaluation Evaluating Word Embeddings: Extrinsic Evaluation...
Word2Vec: Build Semantic Recommender System with TensorFlow
by GoTrained Academy- 2.4
2 hours on-demand video
Word Embeddings are vector representations of a particular word. So, in this course you will learn Word Embeddings by implementing it in the Python library, TensorFlow. Word2Vec is one of the most popular techniques to learn word embeddings using shallow neural network. Word2vec is a particularly computationally-efficient predictive model for learning word embeddings from raw text....
$9.99
Sequence Models
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.8
Approx. 36 hours to complete
Natural Language Processing & Word Embeddings Word Representation Using Word Embeddings Properties of Word Embeddings Learning Word Embeddings GloVe Word Vectors Debiasing Word Embeddings GloVe Word Vectors *CORRECTION* Natural Language Processing & Word Embeddings Trigger Word Detection...
Sequence Models for Time Series and Natural Language Processing
by Google Cloud Training- 4.4
Approx. 15 hours to complete
• Train and reuse word embeddings in text problems Reusable Embeddings Historical methods of making word embeddings Modern methods of making word embeddings...
Natural Language Processing with Deep Learning in Python
by Lazy Programmer Team- 4.7
12 hours on-demand video
Complete guide on deriving and implementing word2vec, GloVe, word embeddings, and sentiment analysis with recursive nets For those beginners who find algorithms tough and just want to use a library, we will demonstrate the use of the Gensim library to obtain pre-trained word vectors, compute similarities and analogies, and apply those word vectors to build text classifiers....
$39.99
Advanced Deployment Scenarios with TensorFlow
by Laurence Moroney- 4.7
Approx. 13 hours to complete
Word embeddings Experimenting with embeddings Pre-trained Word Embeddings...
Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
Approx. 22 hours to complete
a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, Create word embeddings, then train a neural network on them to perform sentiment analysis of tweets...
Related searches
Natural Language Processing (NLP) in Python with 8 Projects
by Ankit Mistry- 4.2
10.5 hours on-demand video
3 : Basics of Natural Language Processing In this section we will dive into all basic NLP task like Tokenization, Lemmatization, stop word removal, name entity recognition, part of speech tagging, and see how to apply with different functions available in a Spacy and NLTK library. Word Embeddings application with Google Pretrained Model...
$11.99
Natural Language Processing with Classification and Vector Spaces
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.6
Approx. 31 hours to complete
c) Write a simple English to French translation algorithm using pre-computed word embeddings and locality sensitive hashing to relate words via approximate k-nearest neighbor search. Word by Word and Word by Doc. Word by Word and Word by Doc. Transforming word vectors Transforming word vectors...
TensorFlow and the Google Cloud ML Engine for Deep Learning
by Loony Corn- 4.3
17.5 hours on-demand video
CNNs, RNNs and other neural networks for unsupervised and supervised deep learning TensorFlow is quickly becoming the technology of choice for deep learning, because of how easy TF makes it to build powerful and sophisticated neural networks. The Google Cloud Platform is a great place to run TF models at scale, and perform distributed training and prediction....
$12.99