Search result for Machine learning and neural networks Online Courses & Certifications
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Introduction to Embedded Machine Learning
by Shawn Hymel , Alexander Fred-Ojala- 4.8
Approx. 17 hours to complete
Thanks to this, running deep neural networks and other complex machine learning algorithms is possible on low-power devices like microcontrollers. This course will give you a broad overview of how machine learning works, how to train neural networks, and how to deploy those networks to microcontrollers, which is known as embedded machine learning or TinyML....
Fundamentals of Machine Learning for Healthcare
by Matthew LungrenTop Instructor , Serena YeungTop Instructor- 4.8
Approx. 12 hours to complete
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and principles. Introduction to Deep Learning and Neural Networks Deep Learning and Neural Networks...
An Introduction to Practical Deep Learning
by Andres Rodriguez , Nikhil Murthy , Hanlin Tang- 4.3
Approx. 17 hours to complete
You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics. Introduction to Deep Learning and Deep Learning Basics Convolutional Neural Networks (CNN), Fine-Tuning and Detection Convolutional Neural Networks Exercise 3: Convolutional Neural Networks...
Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Early History of Neural Networks Deep Learning and Transfer Learning Intro to Machine Learning History of Neural Networks Limitations of Q Learning, and Introduction to Deep Q Learning...
Intro to TensorFlow for Deep Learning
by Magnus Hyttsten , Juan Delgado , Paige Bailey- 0.0
Approx. 2 months
Learn how to build deep learning applications with TensorFlow. and take advantage of it for TensorFlow-Lite and TensorFlow-Serving lesson 7 Time Series Forecasting Learning from sequential data with recurrent neural networks lesson 8 Introduction to TensorFlow Lite Learn how you can use TensorFlow lite to build machine learning apps on Android iOS and iOT devices...
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Introduction to Deep Learning & Neural Networks with Keras
by Alex Aklson- 4.7
Approx. 8 hours to complete
• describe what a neural network is, what a deep learning model is, and the difference between them. • demonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks. Introduction to Neural Networks and Deep Learning Neurons and Neural Networks Introduction to Neural Networks and Deep Learning...
Deep Learning and Reinforcement Learning
by Mark J Grover , Miguel Maldonado- 4.7
Approx. 14 hours to complete
This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis....
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Building Deep Learning Models with TensorFlow
by Samaya Madhavan , JEREMY NILMEIER , Romeo Kienzler , Alex Aklson- 4.4
Approx. 13 hours to complete
Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. • apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Deep Neural Networks Deep Neural Networks and TensorFlow Introduction to Convolutional Neural Networks (CNNs) Convolutional Neural Networks (CNNs) for Classification...
Neural Networks and Deep Learning
by Andrew NgTop Instructor , Kian KatanforooshTop Instructor , Younes Bensouda MourriTop Instructor- 4.9
Approx. 23 hours to complete
In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....
Natural Language Processing
by Luis Serrano , Jay Alammar , Arpan Chakraborty , Dana Sheahen- 0.0
3 Months
Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more! Build models using probabilistic and deep learning techniques and apply them to speech recognition, machine translation, and more!...