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#Encoder-Decoder Architecture

Showing: 19 courses
University of Central Florida

Region Mutual Information Loss for Semantic Segmentation

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Explore advanced techniques in semantic segmentation, including region mutual information loss, à trous convolutions, and multi-scale features for improved image analysis and understanding.
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19 Lesons
21 minutes
On-Demand
Free-Video
University of Central Florida

Action Recognition, Temporal Localization and Detection in Videos

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Explore action recognition, temporal localization, and detection in videos. Learn about knowledge transfer, 3D adaptations of object detection, and video segmentation techniques.
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25 Lesons
36 minutes
On-Demand
Free-Video
Fields Institute

Approximation Theory of Deep Learning from the Dynamical Viewpoint

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Explore deep learning approximation theory from a dynamical perspective, covering supervised learning, universal approximation, sequence modeling, and insights on various neural network architectures.
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23 Lesons
45 minutes
On-Demand
Free-Video
Valence Labs

Predicting Single-Cell Perturbation Responses for Unseen Drugs

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Explore single-cell perturbation response prediction for novel drugs using an encoder-decoder architecture and transfer learning, enhancing drug discovery efficiency through in-silico hypothesis generation.
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11 Lesons
58 minutes
On-Demand
Free-Video
Discover AI

Fine-tuning Flan-T5 LLM with HuggingFace Accelerate - Tutorial

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Learn how to fine-tune Flan-T5 LLM using HuggingFace Accelerate for multi-GPU environments, with step-by-step guidance on preprocessing and implementation for specific downstream tasks.
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8 Lesons
12 minutes
On-Demand
Free-Video
Data Science Courses

Deep Learning: Transformers and Encoder-Decoder Architecture - Lecture 10

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Dive into transformer architectures, exploring encoder-decoder mechanisms and positional embeddings for advanced deep learning applications.
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1 Lesons
1 hour 10 minutes
On-Demand
Free-Video
UofU Data Science

Introduction to Machine Translation with Sequence-to-Sequence Models

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Master sequence-to-sequence modeling fundamentals and applications in machine translation, focusing on neural network architectures and practical implementation techniques.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
The Full Stack

Recurrent Neural Networks - Full Stack Deep Learning - Spring 2021

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Explore Recurrent Neural Networks: architecture, challenges, solutions, and applications. Dive into LSTMs, bidirectionality, attention mechanisms, CTC loss, and non-recurrent sequence models like WaveNet.
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9 Lesons
1 hour 6 minutes
On-Demand
Free-Video
Valerio Velardo - The Sound of AI

Melody Generation with Transformers - Generative Music AI

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Implement a transformer architecture in TensorFlow for end-to-end melody generation. Learn melody encoding, dataset preprocessing, model building, training, and inference techniques for AI-driven music creation.
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15 Lesons
1 hour 12 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch Transformers from Scratch - Attention Is All You Need

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Implement Pytorch Transformers from scratch, exploring the "Attention is all you need" paper. Learn attention mechanisms, encoder-decoder architecture, and practical application.
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11 Lesons
57 minutes
On-Demand
Free-Video
Aladdin Persson

Pytorch Seq2Seq Tutorial for Machine Translation

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Comprehensive tutorial on building a Seq2Seq model for German-English machine translation, covering implementation, training, and evaluation using PyTorch and the Multi30k dataset.
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10 Lesons
51 minutes
On-Demand
Free-Video
Google Cloud Tech

Creating Image Captioning Models: Overview and Components

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Learn to build deep learning image captioning models, exploring encoder-decoder architecture, training techniques, and evaluation methods for accurate visual descriptions.
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5 Lesons
12 minutes
On-Demand
Free-Video
CodeEmporium

Informer Encoder Architecture Explained

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Explore the Informer Encoder architecture, its key components, and implementation details for advanced time series forecasting and sequence modeling tasks.
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1 Lesons
26 minutes
On-Demand
Free-Video
Data Centric

LLMs and Transformers Demystified: Introduction to AI Engineering - Lecture 1

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Demystify transformers and LLMs through intuitive weather analogies. Explore the architecture's impact on AI, from 'Attention is All You Need' to modern applications like ChatGPT.
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9 Lesons
52 minutes
On-Demand
Free-Video
Trelis Research

Transformers from Scratch - Part 2: Building and Training a Weather Prediction Model

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Dive deep into advanced transformer concepts, exploring encoder-decoder architectures, GPT-4o, and positional embeddings. Apply knowledge to weather prediction and analyze model performance.
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15 Lesons
57 minutes
On-Demand
Free-Video
CodeEmporium

Informer Architecture Explained - Complete Guide

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Comprehensive exploration of Informer encoder architecture, detailing its components and implementation for advanced time series forecasting and sequence modeling tasks.
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1 Lesons
38 minutes
On-Demand
Free-Video
CodeEmporium

Informer: Complete Code from Scratch - Time Series Transformer Analysis

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Line-by-line exploration of the time series transformer, focusing on implementation details and code structure for deep learning enthusiasts and practitioners.
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1 Lesons
1 hour 27 minutes
On-Demand
Free-Video
MIT HAN Lab

Transformer and Large Language Models - Part II - Lecture 13

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Explore advanced concepts of Transformers and Large Language Models in this in-depth lecture from MIT's EfficientML course.
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1 Lesons
1 hour 17 minutes
On-Demand
Free-Video
USENIX

Tossing in the Dark: Practical Bit-Flipping on Gray-box Deep Neural Networks for Runtime Trojan Injection

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Explore practical bit-flipping techniques for runtime Trojan injection in deep neural networks, focusing on gray-box scenarios and innovative approaches to bypass memory protection systems.
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1 Lesons
12 minutes
On-Demand
Free-Video