Search result for Lstm networks Online Courses & Certifications
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Natural Language Processing with Deep Learning in Python
by Lazy Programmer Team- 4.7
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12 hours on-demand video
We will also look at some classical NLP problems, like parts-of-speech tagging and named entity recognition, and use recurrent neural networks to solve them. Recursive neural networks exploit the fact that sentences have a tree structure, and we can finally get away from naively using bag-of-words....
$39.99
Natural Language Processing (NLP) in Python with 8 Projects
by Ankit Mistry- 4.2
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10.5 hours on-demand video
11, 12 : Text Classification with CNN & RNN In this section we will see how to apply advanced deep learning model like convolution neural networks and recurrent neural networks for text classification. 13 : Automatic Text Generation using TensorFlow, Keras and LSTM In this section we will apply neural network based LSTM model to automatically generate text....
$11.99
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
Early History of Neural Networks History of Neural Networks Image Analysis with Convolutional Neural Networks Recurrent Neural Networks for Natural Language Processing Use of LSTM for Text Synthesis...
Python & Machine Learning for Financial Analysis
by Dr. Ryan Ahmed, Ph.D., MBA- 4.5
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23 hours on-demand video
We will cover application of Deep Neural Networks such as Long Short Term Memory (LSTM) networks to perform stock price predictions. Understand the underlying theory, intuition and mathematics behind Artificial Neural Networks (ANNs), Recurrent Neural Networks (RNNs) and Long Short Term Memory Networks (LSTM)....
$17.99
Deep Learning: Recurrent Neural Networks in Python
by Lazy Programmer Inc.- 4.6
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12 hours on-demand video
Neural networks for classification and regression (just a review to get you warmed up!) How to use a GRU and LSTM in Tensorflow 2...
$17.99
Build Decision Trees, SVMs, and Artificial Neural Networks
by Stacey McBrine- 0.0
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Approx. 22 hours to complete
Likewise, a more advanced approach to machine learning, called deep learning, uses artificial neural networks (ANNs) to solve these types of problems and more. Build Convolutional and Recurrent Neural Networks (CNN/RNN) Build Convolutional and Recurrent Neural Networks (CNN/RNN) Module Introduction Train and evaluate multi-layer perceptron (ML) artificial neural networks (ANN) for regression and classification....
人工智慧：機器學習與理論基礎 (Artificial Intelligence - Learning & Theory)
by 于天立- 4.6
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Approx. 12 hours to complete
4-5 Deep Learning: Convolutional Neural Networks 4-7 Recurrent Networks, Long Short-Term Memory (LSTM), Neural Turing Machine, Memory-Augmented Neural Networks (MANN)...
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Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
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Approx. 18 hours to complete
Traditional Neural Networks Deep Neural Networks (DNN) versus Recurrent Neural Networks (RNN) Forecasting with Recurrent Neural Networks Convolutional Neural Networks for Image Classification...
Introduction to Deep Learning
by Evgeny Sokolov , Зимовнов Андрей Вадимович , Alexander Panin , Ekaterina Lobacheva , Nikita Kazeev- 4.5
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Approx. 34 hours to complete
The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Introduction to neural networks Generative Adversarial Networks Modern RNNs: LSTM and GRU...
Natural Language Processing
by Anna Potapenko , Alexey Zobnin , Anna Kozlova , Sergey Yudin , Зимовнов Андрей Вадимович- 4.4
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Approx. 32 hours to complete
Neural networks for words Neural networks for characters Simple neural networks for text Whether you need to predict a next word or a label - LSTM is here to help! Get to the point! Summarization with pointer-generator networks...
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