How to learn Deep Learning in 2020

How to learn Deep Learning in 2020

Are you looking for a place to learn Deep Learning? In this collection of resources , you will find the most popular Deep Learning architectures and models used in Computer Vision, NLP and Reinforcement Learning

Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly

Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly

What is Kubernetes? What are the basic principles behind it? Why it might be the best option to deploy Machine Learning applications? What features it provides to help us maintain and scale our infrastructure? How to set up a simple Kubernetes cluster in Google cloud?

Latest Articles
Best deep CNN architectures and their principles: from AlexNet to EfficientNet

Best deep CNN architectures and their principles: from AlexNet to EfficientNet

How convolutional neural networks work? What are the principles behind designing one CNN architecture? How did we go from AlexNet to EfficientNet?

A journey into Optimization algorithms for Deep Neural Networks

A journey into Optimization algorithms for Deep Neural Networks

An overview of the most popular optimization algorithms for training deep neural networks. From stohastic gradient descent to Adam, AdaBelief and second-order optimization

How Transformers work in deep learning and NLP: an intuitive introduction

How Transformers work in deep learning and NLP: an intuitive introduction

An intuitive understanding on Transformers and how they are used in Machine Translation. After analyzing all subcomponents one by one such as self-attention and positional encodings , we explain the principles behind the Encoder and Decoder and why Transformers work so well

Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly

Introduction to Kubernetes with Google Cloud: Deploy your Deep Learning model effortlessly

What is Kubernetes? What are the basic principles behind it? Why it might be the best option to deploy Machine Learning applications? What features it provides to help us maintain and scale our infrastructure? How to set up a simple Kubernetes cluster in Google cloud?

Scalability in Machine Learning: Grow your model to serve millions of users

Scalability in Machine Learning: Grow your model to serve millions of users

Follow along with a small AI startup on its journey to scale from 1 to millions of users. Learn what's a typical process to handle steady growth in the userbase, and what tools and techniques one can incorporate. All from a machine learning perspective

If you want to join AI Summer community and get access to free resources and educational content, don't forget to subscribe here

AI Summer is committed to protecting and respecting your privacy, and we’ll only use your personal information to administer your account and to provide the products and services you requested from us. From time to time, we would like to contact you about our products and services, as well as other content that may be of interest to you. If you consent to us contacting you for this purpose, please tick below to say how you would like us to contact you.

You can unsubscribe from these communications at any time. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy. By clicking submit below, you consent to allow AI Summer to store and process the personal information submitted above to provide you the content requested.