Web Class: An Introduction to Neural Networks

Transcript Part 1 Hello everybody. My name is Mohit Deshpande. And before we get into our main topic of neural networks, I first wanna talk a little bit about where they come from. In this video, I just wanna very briefly just go over kind of the inspiration for neurons, and this topic of neural … Read moreWeb Class: An Introduction to Neural Networks

Machine Learning Mini-Degree

Master Machine Learning with Python and Tensorflow. Craft Advanced Artificial Neural Networks and Build Your Cutting-Edge AI Portfolio. The Machine Learning Mini-Degree is an on-demand learning curriculum composed of 6 professional-grade courses geared towards teaching you how to solve real-world problems and build innovative projects using Machine Learning and Python. Learn and understand the fundamentals necessary to build the next … Read moreMachine Learning Mini-Degree

Free E-book – Deep Learning with Python for Human Beings

We are excited to announce that we have just released a comprehensive new intermediate-level eBook on Machine Learning! Written by computer science researcher Mohit​ ​Deshpande, this eBook is guaranteed to give you that more advanced outlook in this exciting field. The concepts covered in this book build on top of our previous entry-level Machine Learning … Read moreFree E-book – Deep Learning with Python for Human Beings

Advanced Recurrent Neural Networks

Recurrent Neural Networks (RNNs) are used in all of the state-of-the-art language modeling tasks such as machine translation, document detection, sentiment analysis, and information extraction. Previously, we’ve only discussed the plain, vanilla recurrent neural network. We’ll be discussing state-of-the-art models that are used by companies like Google, Amazon, and Microsoft for language tasks. We’ll first … Read moreAdvanced Recurrent Neural Networks

Recurrent Neural Networks for Language Modeling

Many neural network models, such as plain artificial neural networks or convolutional neural networks, perform really well on a wide range of data sets. They’re being used in mathematics, physics, medicine, biology, zoology, finance, and many other fields. However, there is one major flaw: they require fixed-size inputs! The inputs to a plain neural network … Read moreRecurrent Neural Networks for Language Modeling

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