#LSTMs made AI remember before #Transformers took over

here’s the 15-step by-hand ✍️ guide

you can download: https://www.byhand.ai/p/26-lstm

https://t.me/CodeProgrammer

🚀 16th AI by Hand ✍️ Workshops, Scholarships available 👉 https://lu.ma/te2q2zqu

Every Wednesday we’ve been bringing people together to learn AI by hand ✍️.

Next week marks our 16th workshop, and thanks to Google’s generous sponsorship, we’re offering scholarships for educators and students to join us.

Choose your session:

🙌 Deep Learning Beginner Math Workshop
Build the math foundation for deep learning:

1. Dot Product
2. Matrix Multiplication
3. Linear Layer
4. Activation
5. Artificial Neuron

🙌 🙌 Transformer in Excel Workshop (Intermediate)
For AI engineers who know how to use Transformers but want to open the black box. We’ll visualize every step—data flow, math, and dimension alignment—inside Excel.

🙌 🙌 🙌 Latest AI Paper Workshop (Advanced)
Work through a just-published model, architecture, or algorithm with brand-new AI by Hand exercises—crafted for this workshop only.

🙌 🙌 🙌 Deep Reinforcement Learning Workshop (Advanced)
From replay buffers to Monte Carlo, TD learning, Deep Q-Networks, and SARSA—understand value-based deep RL from the ground up.

📅 When: Every Wednesday
🎓 Scholarships: Available for educators & students (sponsored by Google)

Register 🔗 https://lu.ma/te2q2zqu

Resources:
https://t.me/+r_Tcx2c-oVU1OWNi

python-docx: Create and Modify Word Documents #python

python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.

Installation

pip install python-docx

Example

from docx import Document

document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")

document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'

https://t.me/DataScienceN 🚗

🔥 Trending Repository: awesome-transformer-nlp

📝 Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

🔗 Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp

📖 Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme

📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 41
🍴 Forks: 131 forks

💻 Programming Languages: Not available

🏷️ Related Topics:

#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt

==================================
🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: awesome-deeplearning-resources

📝 Description: Deep Learning and deep reinforcement learning research papers and some codes

🔗 Repository URL: https://github.com/endymecy/awesome-deeplearning-resources

📖 Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme

📊 Statistics:
🌟 Stars: 2.9K stars
👀 Watchers: 221
🍴 Forks: 666 forks

💻 Programming Languages: Not available

🏷️ Related Topics:

#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo

==================================
🧠 By: https://t.me/DataScienceN

🔥 Trending Repository: awesome-deep-vision

📝 Description: A curated list of deep learning resources for computer vision

🔗 Repository URL: https://github.com/kjw0612/awesome-deep-vision

📖 Readme: https://github.com/kjw0612/awesome-deep-vision#readme

📊 Statistics:
🌟 Stars: 11K stars
👀 Watchers: 1.1k
🍴 Forks: 2.8K forks

💻 Programming Languages: Not available

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.me/DataScienceN

✨ Download a Free Python Cheat Sheet ✨

📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.

🏷️ #Python

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