Learn AI | AI Summer

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AI Summer

Audio

Speech synthesis: A review of the best text to speech architectures with Deep Learning

Autoencoders

How to Generate Images using Autoencoders

The theory behind Latent Variable Models: formulating a Variational Autoencoder

Attention and Transformers

How the Vision Transformer (ViT) works in 10 minutes: an image is worth 16x16 words

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

Business

Apply Machine Learning to your Business

Deep Learning in Production: Laptop set up and system design

Career

How to get hired as a Machine Learning Engineer

Best bootcamps and programs to learn Machine Learning and Data Science

Convolutional Neural Networks

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

Understanding the receptive field of deep convolutional networks

Computer Vision

Semantic Segmentation in the era of Neural Networks

Localization and Object Detection with Deep Learning

Data Processing

Data preprocessing for deep learning: How to build an efficient big data pipeline

Data preprocessing for deep learning: Tips and tricks to optimize your data pipeline using Tensorflow

Generative Learning

GANs in computer vision - self-supervised adversarial training and high-resolution image synthesis with style incorporation

GANs in computer vision - semantic image synthesis and learning a generative model from a single image

Generative Adversarial Networks

GANs in computer vision - Introduction to generative learning

GANs in computer vision - 2K image and video synthesis, and large-scale class-conditional image generation

Graph Neural Networks

Graph Neural Networks - An overview

Machine Learning

A journey into Optimization algorithms for Deep Neural Networks

Neural Network from scratch-part 2

Medical

Deep learning in MRI beyond segmentation: Medical image reconstruction, registration, and synthesis

Introduction to medical image processing with Python: CT lung and vessel segmentation without labels

MLOps

How to use Docker containers and Docker Compose for Deep Learning applications

How to use uWSGI and Nginx to serve a Deep Learning model

Natural Language Processing

Document clustering

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

Pytorch

Understanding einsum for Deep learning: implement a transformer with multi-head self-attention from scratch

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

Recurrent Neural Networks

Recurrent neural networks: building a custom LSTM cell

Recurrent Neural Networks: building GRU cells VS LSTM cells in Pytorch

Reinforcement Learning

Deep Q Learning and Deep Q Networks

The idea behind Actor-Critics and how A2C and A3C improve them

Resources

Top 10 courses to learn Machine and Deep Learning (2020)

The Best Machine Learning books to learn AI

Software

How to Unit Test Deep Learning: Tests in TensorFlow, mocking and test coverage

Logging and Debugging in Machine Learning - How to use Python debugger and the logging module to find errors in your AI application

Tensorflow

How to build a custom production-ready Deep Learning Training loop in Tensorflow from scratch

Distributed Deep Learning training: Model and Data Parallelism in Tensorflow