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Natural Language Processing in TensorFlow (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.
6
Average: 6 ( 3 votes )

Sequence Models (Coursera)

This course will teach you how to build models for natural language, audio, and other sequence data. Thanks to deep learning, sequence algorithms are working far better than just two years ago, and this is enabling numerous exciting applications in speech recognition, music synthesis, chatbots, machine translation, natural language [...]
0
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Introduction to Deep Learning (Coursera)

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners [...]
1
Average: 1 ( 3 votes )

Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)

May 10th 2021
Build Decision Trees, SVMs, and Artificial Neural Networks (Coursera)
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There are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have [...]
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Deep Learning for Business (Coursera)

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So [...]
10
Average: 10 ( 3 votes )

An Introduction to Practical Deep Learning (Coursera)

This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading.
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Deep Learning with Tensorflow (edX)

Self Paced
Deep Learning with Tensorflow (edX)
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Much of the world's data is unstructured. Think images, sound, and textual data. Learn how to apply Deep Learning with TensorFlow to this type of data to solve real-world problems.
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Using GPUs to Scale and Speed-up Deep Learning (edX)

Self Paced
Using GPUs to Scale and Speed-up Deep Learning (edX)
Course Auditing
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Training complex deep learning models with large datasets takes a long time. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning. Training a complex deep learning model with a very large dataset can take hours, days and occasionally [...]
1
Average: 1 ( 2 votes )