Search result for Neural network online training Online Courses & Certifications
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Deep Neural Networks with PyTorch
by Joseph Santarcangelo- 4.4
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Approx. 31 hours to complete
• build Deep Neural Networks using PyTorch What's a Neural Network Neural Networks Neural Networks with Multiple Dimensional Inputs Multi-Class Neural Networks 1 Deep Neural Networks 2 Deeper Neural Networks : nn. 3 Neural Network initialization Weights Neural Network initialization Convolutional Neural Network 1 Convolutional Neural Network 2 Convolutional Neural Network Convolutional Neural Network...
Machine Translation
by Alexander Waibel , Jan Niehues- 4.6
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Approx. 27 hours to complete
A main focus of the course will be the current state-of-the-art neural machine translation technology which uses deep learning methods to model the translation process. Neural Network Models Feed Foward Neural Network Language Model Reccurent Neural Network Language Model Neural Translation Model Feed Forward Neural Network Language Model Recurrent Neural Network Language Model...
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
a) Train a neural network with GLoVe word embeddings to perform sentiment analysis of tweets, c) Train a recurrent neural network to perform named entity recognition (NER) using LSTMs with linear layers, and Neural Networks for Sentiment Analysis Create word embeddings, then train a neural network on them to perform sentiment analysis of tweets...
Applied AI with DeepLearning
by Romeo Kienzler , Niketan Pansare , Tom Hanlon , Max Pumperla , Ilja Rasin- 4.4
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Approx. 24 hours to complete
We’ll learn about the fundamentals of Linear Algebra and Neural Networks. Deep feed forward neural networks Convolutional Neural Networks Recurrent neural networks Methods for neural network training Neural Network Debugging with TensorBoard Recurrent neural networks Number of Time Steps, Epochs, Training and Validation Designing the LSTM network in Keras Methods of parallel neural network training...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
Introduction to Neural Networks Introduction to Neural Networks - Part 1 Introduction to Neural Networks - Part 2 Introduction to Neural Networks - Part 3 Neural Network Optimizers and Keras Details of Training Neural Networks Convolutional Neural Network Architectures - Part 1 Convolutional Neural Network Architectures - Part 2 Convolutional Neural Network Architectures - Part 3...
Deep Learning Regression with R
by Diego Fernandez- 3.4
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4 hours on-demand video
Minimize recurrent neural network vanishing gradient problem through long short-term memory units. For algorithm training, you’ll define optimal parameters estimation or fine tuning, bias-variance trade-off, optimal model complexity and artificial neural network regularization. For artificial neural network regularization, you’ll define node connection weights, visible and hidden layers dropout fractions, stochastic gradient descent algorithm learning and momentum rates....
$9.99
Sequences, Time Series and Prediction
by Laurence Moroney- 4.7
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Approx. 13 hours to complete
Deep Neural Networks for Time Series Feeding windowed dataset into neural network Single layer neural network More on single layer neural network Deep neural network training, tuning and prediction Deep neural network Single layer neural network notebook Deep neural network notebook Recurrent Neural Networks for Time Series Convolutional neural networks course...
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Deep Learning Regression with Python
by Diego Fernandez- 3.4
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4 hours on-demand video
Minimize recurrent neural network vanishing gradient problem through long short-term memory units. For algorithm training, you’ll define optimal parameters estimation or fine tuning, bias-variance trade-off, optimal model complexity, artificial neural network regularization and time series cross-validation. For artificial neural network regularization, you’ll define node connection weights, visible and hidden layers dropout fractions, stochastic gradient descent algorithm learning and momentum rates....
$9.99
neural networks for sentiment and stock price prediction
by Dan We- 4
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2.5 hours on-demand video
How to train a neural network for stock price prediction? Together we will go through the whole process of data import, preprocess the data , creating an long short term neural network in keras (LSTM), training the neural network and test it (= make predictions) In the first part we will create a neural network for stock price prediction....
$12.99
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
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Approx. 31 hours to complete
The course discusses artificial neural networks and other deep learning concepts, then walks through how to combine neural network building blocks into complete computer vision models and train them efficiently. Neural Network Essentials: Fully Connected Neural Network Essentials: Convolution and Max Pooling Neural Network Training Neural Network Evaluation...
