Encoder-Decoder Architecture Courses and Certifications

Packt

Advanced Chatbots with Deep Learning and Python

Develop advanced chatbots using deep learning and Python. Learn architecture, implementation, and real-world applications in healthcare, business, and e-commerce. Build and deploy intelligent conversational AI systems.

• Coursera
• 3 hours 38 minutes
• On-Demand
• Paid Course

Generative AI for Developers

Dive into generative AI with a technical focus, covering diffusion models, attention mechanisms, transformers, BERT, image captioning, Vertex AI Studio, vector search, multimodal RAG, responsible AI, and MLOps.

• Google Skills
• 18-19 hours
• On-Demand
• Free Online Course

Aladdin Persson

Pytorch Transformers from Scratch - Attention Is All You Need

Implement Pytorch Transformers from scratch, exploring the "Attention is all you need" paper. Learn attention mechanisms, encoder-decoder architecture, and practical application.

• YouTube
• 57 minutes
• On-Demand
• Free Video

CodeEmporium

Transformers from Scratch

Master transformer neural networks by building complete architecture from scratch, including attention mechanisms, encoders, decoders, and practical translation applications.

• YouTube
• 4 hours 25 minutes
• On-Demand
• Free Video

Aladdin Persson

Pytorch Seq2Seq Tutorial for Machine Translation

Comprehensive tutorial on building a Seq2Seq model for German-English machine translation, covering implementation, training, and evaluation using PyTorch and the Multi30k dataset.

• YouTube
• 51 minutes
• On-Demand
• Free Video

Google Cloud Tech

Creating Image Captioning Models: Overview and Components

Learn to build deep learning image captioning models, exploring encoder-decoder architecture, training techniques, and evaluation methods for accurate visual descriptions.

• YouTube
• 12 minutes
• On-Demand
• Free Video

Neural Breakdown with AVB

Natural Language Processing Evolution: From Word2Vec and RNNs to GPT - 50 Key Concepts

Explore the evolution of Natural Language Processing through 50 key concepts, from fundamental Word2Vec and RNNs to modern transformer architectures and GPT models, with clear technical explanations.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Alexander Amini

Recurrent Neural Networks, Transformers, and Attention - MIT 6.S191 Lecture 2

Dive into recurrent neural networks, transformers, and attention mechanisms with MIT's Introduction to Deep Learning lecture by Ava Amini.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Encoder-Decoder Architecture - Locales

This course, Encoder-Decoder Architecture - Locales, is intended for non-English learners. If you want to take this course in English, please enroll in Encoder-Decoder Architecture. This course gives you a synopsis of the encoder-decoder architecture, wh…

• Google Skills
• 8 hours
• Finished
• Free Online Course

Region Mutual Information Loss for Semantic Segmentation

1 review

Explore advanced techniques in semantic segmentation, including region mutual information loss, à trous convolutions, and multi-scale features for improved image analysis and understanding.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Action Recognition, Temporal Localization and Detection in Videos

Explore action recognition, temporal localization, and detection in videos. Learn about knowledge transfer, 3D adaptations of object detection, and video segmentation techniques.

• YouTube
• 36 minutes
• On-Demand
• Free Video

The Full Stack

Recurrent Neural Networks - Full Stack Deep Learning - Spring 2021

Explore Recurrent Neural Networks: architecture, challenges, solutions, and applications. Dive into LSTMs, bidirectionality, attention mechanisms, CTC loss, and non-recurrent sequence models like WaveNet.

• YouTube
• 1 hour 6 minutes
• On-Demand
• Free Video

Valence Labs

Predicting Single-Cell Perturbation Responses for Unseen Drugs

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.

• YouTube
• 58 minutes
• On-Demand
• Free Video

MIT HAN Lab

Transformer and Large Language Models - Part II - Lecture 13

Explore advanced concepts of Transformers and Large Language Models in this in-depth lecture from MIT's EfficientML course.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

CodeEmporium

Informer Architecture Explained - Complete Guide

Comprehensive exploration of Informer encoder architecture, detailing its components and implementation for advanced time series forecasting and sequence modeling tasks.

• YouTube
• 38 minutes
• On-Demand
• Free Video