MLT __init__ Session #1 – Xception: Deep Learning with Depthwise Separable Convolutions
MLT __init__ Session #16: SeamlessGAN
Introducing MLT __init__ Paper Reading Sessions
MLT __init__ Session #3: Squeeze-and-Excitation Networks
MLT __init__ Session #12: SimCLR
MLT __init__ Session #8: Filter Pruning via Geometric Median
MLT __init__ Session #15: Deep Learning on a Data Diet
MLT __init__ Session #4 – SSD: Single Shot MultiBox Detector
MLT __init__ Session #10: Rethinking Importance Weighting
MLT __init__ Session #2: DeepLab — Semantic Image Segmentation
MLT __init__ Session #9: Self-Distillation as Instance-Specific Label Smoothing
MLT __init__ Session #11: ResNet strikes back
MLT __init__ Session #6: Attention is all you need
MLT __init__ Session #17: LLM int8
MLT __init__ Session #13: Multitask Prompted Training Enables Zero-Shot Task Generalization
MLT __init__ Session #5: RNN Encoder-Decoder
MLT __init__ Session #7: An Image is Worth 16x16 Words
EdgeAI Lab with Microcontrollers Session #3: Audio based Application
DL with Python: Getting started with neural networks (Chapter 4)
EdgeAI Lab with Microcontrollers Session #1: Overview of EdgeAI Applications
