Search result for Gru networks Online Courses & Certifications
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Deep Learning for Beginners in Python: Work On 12+ Projects
by Vijay Gadhave- 4.2
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14.5 hours on-demand video
Part 1: Artificial Neural Networks (ANNs) Part 2: Convolutional Neural Networks (CNNs) Part 3: Recurrent Neural Networks (RNNs) 1) To built the Neural Networks from the scratch 2) You will have a complete understanding of Artificial Neural Networks, Convolutional Neural Networks and Recurrent Neural Networks 3) You will learn to built the neural networks with LSTM and GRU...
$13.99
Natural Language Processing with Sequence Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.5
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Approx. 22 hours to complete
If you’d like to prepare additionally, you can take Course 1: Neural Networks and Deep Learning of the Deep Learning Specialization. Neural Networks for Sentiment Analysis Neural Networks for Sentiment Analysis Trax: Neural Networks Neural Networks for Sentiment Analysis Trax: Neural Networks Recurrent Neural Networks for Language Modeling Recurrent Neural Networks Recurrent Neural Networks Siamese Networks Siamese Networks...
Data Science 2021: Data Science & Machine Learning in Python
by Ankit Mistry- 4.4
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18.5 hours on-demand video
8) Artificial Neural Networks (ANNs): The Neuron, Activation Function, Cost Function, Gradient Descent and Back-Propagation, Building the Artificial Neural Networks, Binary Classification with Artificial Neural Networks 9) Convolutional Neural Networks (CNNs): Theory behind Convolutional Neural Networks, Different layers in Convolutional Neural Networks, Building Convolutional Neural Networks, Credit Card Fraud Detection with CNN...
$11.99
Sequence Models
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.8
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Approx. 36 hours to complete
By the end, you will be able to build and train Recurrent Neural Networks (RNNs) and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering....
Natural Language Processing(NLP) with Deep Learning in Keras
by CARLOS QUIROS- 4.5
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8.5 hours on-demand video
Word2Vec, Glove, FastText, Universal Sentence Encoder, GRU, LSTM, Conv-1D, Seq2Seq, Machine Translation and much more! Natural Language Processing (NLP) is a hot topic into Machine Learning field. This course is an advanced course of NLP using Deep Learning approach. Before starting this course please read the guidelines of the lesson 2 to have the best experience in this course....
$18.99
Building Recommender Systems with Machine Learning and AI
by Sundog Education by Frank Kane- 4.4
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11.5 hours on-demand video
New in 2021! Updated with Tensorflow Recommenders (TFRS) and Generative Adversarial Networks for recommendations (GANs) However, this course is very hands-on; you'll develop your own framework for evaluating and combining many different recommendation algorithms together, and you'll even build your own neural networks using Tensorflow to generate recommendations from real-world movie ratings from real people....
$20.99
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
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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
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...
