Search result for Neural network models Online Courses & Certifications
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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
You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. Logistic Regression Models Neural Network Models Demo: Using the R API to Create and Assess Models Recurrent Neural Network Architecture Convolutional Neural Networks for Image Classification...
Introduction to Artificial Neural Network and Deep Learning
by Prof. Seyedali- 4.5
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7 hours on-demand video
Neural Networks are extremely practical machine learning techniques in different projects. What does a data scientist need to learn about Neural Networks? The first thing you need to learn is the mathematical models behind them. This course starts with intuitive examples to take you through the most fundamental mathematical models of all Neural Networks....
$12.99
PyTorch for Deep Learning with Python Bootcamp
by Jose Portilla- 4.7
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17 hours on-demand video
Learn how to create state of the art neural networks for deep learning with Facebook's PyTorch Deep Learning library! Deep integration into Python allows popular libraries and packages to be used for easily writing neural network layers in Python. Neural Network Theory Convolutional Neural Networks Recurrent Neural Networks...
$19.99
Advanced Deep Learning with Keras
by Packt Publishing- 3.4
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5 hours on-demand video
Keras is an open source neural network library written in Python. Designed to enable fast experimentation with deep neural networks, it focuses on being minimal, modular, and extensible. Then, we introduce neural networks and the optimization techniques to train them. Then, we present two types of neural architecture: convolutional and recurrent neural networks...
$9.99
Computational Neuroscience
by Rajesh P. N. Rao , Adrienne Fairhall- 4.6
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Approx. 26 hours to complete
Specific topics that will be covered include representation of information by spiking neurons, processing of information in neural networks, and algorithms for adaptation and learning. 3 Computational Neuroscience: Mechanistic and Interpretive Models Neural Encoding Models (Adrienne Fairhall) 1 What is the Neural Code? 2 Neural Encoding: Simple Models 2 Introduction to Network Models...
Deep Learning with Python and Keras
by Data Weekends- 4.6
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10 hours on-demand video
At the end of the course you'll be able to recognize which problems can be solved with Deep Learning, you'll be able to design and train a variety of Neural Network models and you'll be able to use cloud computing to speed up training and improve your model's performance....
$21.99
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
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Approx. 14 hours to complete
Try clustering points where appropriate, compare the performance of per-cluster models Introduction to Neural Networks Introduction to Neural Networks - Part 1 Introduction to Neural Networks - Part 2 Neural Network Optimizers and Keras Convolutional Neural Network Architectures - Part 1 Convolutional Neural Network Architectures - Part 2 Convolutional Neural Network Architectures - Part 3...
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Machine learning with R (RF, Adabost.M1, DT, NB, LR, NN)
by Modeste Atsague- 3.3
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3 hours on-demand video
M1, DecisionTree, Logistic Regression , Naive Bayes, Neural Network, CNN, K-mean , Linear regress How to combine models to predict Missing values treatment ,variables selection and prediction using a linear regression model K mean Clustering ...
$9.99
Machine Learning Using SAS Viya
by Jeff Thompson , Catherine Truxillo- 4.7
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Approx. 35 hours to complete
Building Ensemble Models Comparison of Tree-Based Models Forest Models Gradient Boosting Models Demo: Building a Neural Network Using the Default Settings Improving the Neural Network Model Neural Network Architectures Demo: Modifying the Neural Network Architecture Optimizing the Complexity of a Neural Network Model Regularizing and Tuning the Hyperparameters of a Neural Network Model...
AI for Medical Diagnosis
by Pranav Rajpurkar , Bora Uyumazturk , Amirhossein Kiani , Eddy Shyu- 4.7
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Approx. 19 hours to complete
- In Course 1, you will create convolutional neural network image classification and segmentation models to make diagnoses of lung and brain disorders. You don't need to be an AI expert, but a working knowledge of deep neural networks, particularly convolutional networks, and proficiency in Python programming at an intermediate level will be essential....
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