High Definition Standard Definition Theater
Video id : 1TUOa8T9oIg
ImmersiveAmbientModecolor: #fafafa (color 1)
Video Format : (720p) openh264 ( https://github.com/cisco/openh264) mp4a.40.2 | 44100Hz
Audio Format: 140 ( High )
PokeEncryptID: 63f6ea1c00f09d2aa12d9ead737cb81798995938977ec71a3d823c8e4da1b735bf75a928ef674b84f52d142e2e966490
Proxy : cal1.iv.ggtyler.dev - refresh the page to change the proxy location
Date : 1734560126521 - unknown on Apple WebKit
Mystery text : MVRVT2E4VDlvSWcgaSAgbG92ICB1IGNhbDEuaXYuZ2d0eWxlci5kZXY=
143 : true
LSTM Gates: A Quick Summary
Jump to Connections
7.36K Subs
2 Views • Nov 9, 2024 • Click to toggle off description
In this short video, I provide a quick explanation of the different gates in Long Short-Term Memory (LSTM) networks – the building blocks that make LSTM models powerful for sequence data. For a deeper dive into LSTM theory, including its architecture and applications, check out my longer video linked below. Whether you’re brushing up or just starting with LSTMs, this quick breakdown will get you familiar with the key functions of the forget, input, and output gates in LSTM models.

Full video on LSTM:    • LSTM Theory and Math Clearly Explained  


Dr. Shahriar Hossain
courses.computing4all.com/
Metadata And Engagement

Views : 2
Genre: Education
License: Standard YouTube License
Uploaded At Nov 9, 2024 ^^

warning: returnyoutubedislikes may not be accurate, this is just an estiment ehe :3
Rating : 0 (0/0 LTDR)

0% of the users lieked the video!!
0% of the users dislieked the video!!
User score: 0.00- Overwhelmingly Negative

RYD date created : 2024-11-09T09:12:13.415876Z
See in json
Connections
Nyo connections found on the description ;_; report an issue lol

2 Comments

Top Comments of this video!! :3

@C4A

1 month ago

The link to the full video: https://www.youtube.com/watch?v=g_spHTdPWRM&t=0s

|

@nurmohammadSohag-m9h

1 month ago

The contents of your channel are very nice, everyone should see them. If you want, you can grow your YouTube channel very quickly by following some rules.

|

Go To Top
check these out !!!
20:45
Long Short-Term Memory (LSTM), Clearly Explained
18:58
LSTM Theory and Math Clearly Explained
16:47
Attention in Encoder-Decoder Models: LSTM Encoder-Decoder with Attention
33:04
Generative Model That Won 2024 Nobel Prize
Artem Kirsanov
241K views
13:14
Andrew Ng’s Machine Learning Specialization Landed Me a Job | Course Review & All You Need to Know
Monica Lin
12K views
09:44
Sigmoid Function -- When to use it as an Activation Function in Neural Networks
11:18
Illustrated Guide to LSTM's and GRU's: A step by step explanation
The AI Hacker
511K views
26:52
Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote
Snowflake Inc.
208K views
25:35
金星：为什么取消我的舞台？请给我一个理由！
58:20
Think Fast, Talk Smart: Communication Techniques
15:03
Learn Machine Learning Like a GENIUS and Not Waste Time
Infinite Codes
223K views
51:31
11. Introduction to Machine Learning
16:00
Skip-gram Word2Vec: A Powerful Word Embedding Technique using a Simple Neural Network in Python
27:07
Attention Is All You Need
Yannic Kilcher
658K views
19:15
GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
AI Engineer
73K views
07:17
Post-quantum cryptography: Security after Shor’s algorithm
Chalk Talk
32K views
09:49
Encoder-Decoder Architecture for Seq2Seq Models | LSTM-Based Seq2Seq Explained
22:20
How AI Cracked the Protein Folding Code and Won a Nobel Prize
09:26
How Neural Network Word Embeddings Actually Work