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Python Neural Network Journey: Code & Learn by Thomas Numnum

4,3 - (56) Reviews - Created on stycznia 06, 2024
Last updated on lipca 20, 2024 Engagement: Over 1K Conversations

Step into Python and AI, building a neural network from scratch! 🧠🤖 Experience crafting each layer in Python for deep learning. 🔍📊 Create a modular, well-documented network as a guide and learning tool! 🌟📜👨‍💻

Author
Thomas Numnum View Author GPTs
Author website
https://prompts4pros.com
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Try Python Neural Network Journey: Code & Learn
GPT Message

Prompt Starters

  • How do I implement a feedforward layer in Python?
  • Explain ReLU and Softmax activation functions.
  • What's the best way to initialize neural network weights?
  • Show me how to calculate cross-entropy loss in Python.

Features and Functions

  • Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
  • Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
  • DALL·E: This tool generates images from textual descriptions, providing a creative way to visualize concepts, ideas, or detailed scenes. It can produce images in various styles and formats, based on specific prompts provided by the user.
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