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Learn Gradient Descent, earn certificates with free online courses from Alexander Amini, Duke, University of Washington, NPTEL and other top universities around the world. Read reviews to decide if a class is right for you.
Learn scientific coding in Python from a warm-blooded scientist. Each video includes hands-on solved practice problems!
A complete Beginner to Advance level guide to Machine Learning. Hands-on Learning approach with in-depth math concepts
Complete hands-on Machine Learning Course with Data Science, NLP, Deep Learning and Artificial Intelligence
Understanding Machine Learning for Data Science in python. Best skill to get in free time.
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
Learn the basics of deep learning and implement your own deep neural networks with PyTorch
In this short series, we will build and train a complete Artificial Neural Network in python.
In this course, we will learn about the building blocks used in these Deep Learning based solutions. Specifically, we will learn about feedforward neural networks, convolutional neural networks, recurrent neural networks and attention mechanisms.
"Deep Learning with PyTorch: Zero to GANs" is a beginner-friendly online course offering a practical and coding-focused introduction to deep learning using the PyTorch framework. Enroll now to start learning.
This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.
Learn practical machine learning using Tensorflow with NPTEL. Master gradient descent, model selection, and deep learning in a 4-5 hour workload.
Are you interested in neural networks or machine learning? Learn about the components of a neural network, as well as how to build and train one in C++.
Take a deep dive into neural networks and convolutional neural networks, two key concepts in the area of machine learning.
Learn the basics of deep learning and get up and running with this technology.
Take a deep dive into the inner workings of neural networks by learning how to create one from scratch in Python.
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