deep learning tutorial

Natural Language Processing TensorFlow

Text Classification Using BERT & Tensorflow

Using BERT and Tensorflow 2.0, we will write simple code to classify emails as spam or not spam. BERT will be used to generate sentence encoding for all emails and after that we will use a simple neural network with one drop out layer and one output layer.

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AI Research

Why AI is Harder Than We Think

Yannic Kilcher  explains how the AI community has gone through regular cycles of AI Springs, where rapid progress gave rise to massive overconfidence, high funding, and overpromise, followed by these promises being unfulfilled, subsequently diving into periods of disenfranchisement and underfunding, called AI Winters. This video he explores a paper which examines the reasons for […]

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AI Research

GLOM: How to represent part-whole hierarchies in a neural network (Geoff Hinton’s Paper Explained)

Yannic Kilcher covers a paper where Geoffrey Hinton describes GLOM, a Computer Vision model that combines transformers, neural fields, contrastive learning, capsule networks, denoising autoencoders and RNNs. GLOM decomposes an image into a parse tree of objects and their parts. However, unlike previous systems, the parse tree is constructed dynamically and differently for each input, […]

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AI Deep Learning

Practical Deep Learning for Coders – the 11 Hours Full Course

freeCodeCamp.org has made the Practical Deep Learning for Coders is a course from fast.ai available . This course was created to make deep learning accessible to as many people as possible. The only prerequisite for this course is that you know how to code (a year of experience is enough), preferably in Python, and that […]

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