MLT Artificial Intelligence

Happy Birthday MLT!

EdgeAI Lab with Microcontrollers Session #3: Audio based Application

My journey to Kaggle #1 with Philipp Singer

MLT – Machine Learning Tokyo

A Practical Tutorial on Building Machine Learning Demos with Gradio

DL with Python: Getting started with neural networks (Chapter 4)

Statistics: Estimators, asymptotic theory, and random variable convergence 2 with Michal Fabinger

Statistics: Dependence of random variables and conditional distributions 2 with Michal Fabinger

Statistics: Shapes and Moments of Probability Distributions 2 with Michal Fabinger

DL with Python: Fundamentals of machine learning (Chapter 5)

Deep Learning with Python: Mathematical building blocks of neural networks (Chapter 2)

Statistics: Dependence of random variables and conditional distributions 1 with Michal Fabinger

Statistics: Estimators asymptotic theory and random variable convergence 1 with Michal Fabinger

DL with Python: Generative deep learning (Chapter 12)

Statistics: Dependence of random variables and conditional distributions 3 with Michal Fabinger

DL with Python: Deep learning for text (Chapter 11 1/2)

DL with Python: Introduction to deep learning for computer vision (Chapter 8)

Transformers with Lucas Beyer, Google Brain

DL with Python: Deep learning for text (Chapter 11 2/2)

AI at Scale in Rakuten’s Recommendation Systems with Phuc Le

DL with Python: Advanced deep learning for computer vision (Chapter 9)

DL with Python: Working with Keras: A deep dive (Chapter 7)

MLT __init__ Session #16: SeamlessGAN

MLT __init__ Session #17: LLM int8

Text-to-Image Generation – Deep Dive into DALL-E 2, Imagen, Parti, VQGAN with Jerry Chi

MLT __init__ Session #15: Deep Learning on a Data Diet

DL with Python: Deep learning for Time series (Chapter 10)

Data Labeling for Search Relevance Evaluation with Dmitry Ustalov

A rigorous introduction to probability theory: Lecture 4 with Michal Fabinger

Deep Learning with Python: What is deep learning? (Chapter 1)

MLT __init__ Session #9: Self-Distillation as Instance-Specific Label Smoothing

Statistics: Shapes and Moments of Probability Distributions 1 with Michal Fabinger

MLT __init__ Session #4 – SSD: Single Shot MultiBox Detector

EdgeAI Lab with Microcontrollers Session #1: Overview of EdgeAI Applications

Large Language Models and the Future of AI with Connor Leahy, EleutherAI

Happy Birthday MLT!

MLT Deep Learning: Introduction and Loss functions

Building a Scalable AI Chatbot #5: Named Entity Recognition

MLT Deep Learning: Optimizers

MLT __init__ Session #2: DeepLab — Semantic Image Segmentation

Dive into Deep Learning: Coding Session #1 – Setup & MLP (APAC)

MLT CNN Architectures: ResNet - theory

Building a Scalable AI Chatbot #1: From Rules to Deep Learning

EdgeAI Lab with Microcontrollers Session #2: Motion Based Application using IMU

MLT CNN Architectures: ShuffleNet - theory

MLT CNN Architectures: MobileNet - implementation