Back to News

I Got into Deep Learning

Hacker News - AI
Jul 16, 2025 19:03
skadamat
1 views
hackernewsaidiscussion

Summary

The article "I Got into Deep Learning" recounts the author's personal journey into the field of deep learning, highlighting the accessibility of online resources and the importance of hands-on experimentation. This narrative underscores how self-motivated learning and open educational materials are enabling more individuals to enter and contribute to the rapidly evolving AI landscape.

Article URL: https://www.vikas.sh/post/how-i-got-into-deep-learning Comments URL: https://news.ycombinator.com/item?id=44585713 Points: 2 # Comments: 0
Read Full ArticleMore News

Related Articles

Effective Practices for Coding with a Chat-Based AI

Hacker News - AIJul 16

The article outlines best practices for using chat-based AI tools in coding, emphasizing the importance of clear prompts, iterative refinement, and critical review of AI-generated code. It highlights how these practices can improve developer productivity while underscoring the need for human oversight to ensure code quality and security. The piece suggests that integrating chat-based AI thoughtfully can enhance, but not replace, traditional software development workflows.

Concon: Mac AI browser unifies 70 LLMs, ends dev context-switching

Hacker News - AIJul 16

Concon has launched a Mac AI browser that integrates access to 70 large language models (LLMs) within a single interface, aiming to eliminate the need for developers to switch between different tools. This unified platform streamlines workflows and could accelerate AI development by making it easier to compare and utilize multiple LLMs efficiently.

Hugging Face Makes Desktop Robot Available for Pre-Order

AI BusinessJul 16

Hugging Face has launched pre-orders for its open-source desktop robot, which features multimodal sensing and motorized movements to enable expressive human-robot interactions. This development highlights growing accessibility and innovation in AI-powered robotics, potentially accelerating research and adoption in human-AI collaboration.