Encoder Decoder | Sequence-to-Sequence Architecture | Deep Learning | CampusX
In this video, we unravel the complexities of the Encoder-Decoder architecture, focusing on its application in sequence-to-sequence tasks. Whether you're a student, developer, or tech enthusiast, join us on this learning journey as we break down the fundamentals of this powerful model.
Digital Notes for Deep Learning: https://shorturl.at/NGtXg
🔗 Research Paper: https://arxiv.org/pdf/1409.3215.pdf
============================
Do you want to learn from me?
Check my affordable mentorship program at : https://learnwith.campusx.in
============================
📱 Grow with us:
CampusX' LinkedIn: / campusx-official
CampusX on Instagram for daily tips: / campusx.official
My LinkedIn: / nitish-singh-03412789
Discord: / discord
👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science!
Share your thoughts, experiences, or questions in the comments below. I love hearing from you!
Thank you for joining us on this exploration of the Encoder-Decoder architecture. Stay curious, and let's decode the future together! 🚀🤖
⌚Time Stamps⌚
00:00 - Intro
01:22 - SEQ2SEQ Data
08:04 - Things to Know Before You Start
10:05 - High Level Overview
13:43 - What's under the hood?
19:25 - Training the Architecture using Backpropagation
48:44 - Prediction
55:35 - Improvement 1 - Embeddings
1:00:30 - Improvement 2 - Deep LSTMs
1:10:45 - Original Research Paper
1:10:58 - The Sutskever Architecture
✨ Hashtags✨
#EncoderDecoder #SequenceToSequence #DeepLearning #MachineLearning #CampusX #TechExplained #AI #NeuralNetworks #LSTM #AlgorithmExplained
