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Learn Neural Networks, earn certificates with free online courses from Harvard, Stanford, MIT, University of Pennsylvania and other top universities around the world. Read reviews to decide if a class is right for you.
Learn Artificial Neural Networks (ANN) in Python. Build predictive deep learning models using Keras & Tensorflow| Python
You do not need coding or advanced mathematics background for this course. Understand how predictive ANN models work
Machine Learning | Learn concepts of Machine Learning and how to train a Neural Network in MATLAB on Iris data-set.
Explore advanced AI techniques: neural networks and random forests. Learn structure, coding, and applications. Complete projects on heart disease prediction and patient similarity analysis.
Go Beginner to Pro in Computer Vision in Pytorch / Python with Expert Tips Convolutional Neural Network Deep Learning
The MOST in-depth look at neural network theory, and how to code one with pure Python and Numpy
Explore the attention mechanism in neural networks, enhancing focus on specific input sequence parts for improved machine learning performance in translation, summarization, and more.
ANN from beginning. In this course I shall show a very basic example,thank you
Comprehensive introduction to neural networks, covering fundamentals, perceptrons, and coding from scratch. Includes hands-on challenges and focuses on deep understanding without relying on libraries.
Step by Step Introduction to Basic Neural Network Concepts with JavaScript by Building & Training Working Examples!
Boost your data science skills - learn to build and train complex neural network using the R program
Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.
Learn in-depth and implement CNN using Python for a project.
Explore adversarial attacks on machine learning, their impact, and defense strategies. Learn to incorporate adversarial considerations in research and development for more robust AI systems.
In this short series, we will build and train a complete Artificial Neural Network in python.
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