Deschide articolul original într-un tab nou Schimbarea acestei opțiuni se aplică imediat și reîncarcă pagina.
LECTURA
← Înapoi la Urmăritori

Rishal Hurbans

rhurbans.com/rss/
Vizitează site-ul

Cel mai recent articol

Ultima verificare

Urmăritori 0 urmăritori
Articole: 15

  1. Read Grokking AI Algorithms, 2nd Edition

    (Rishal Hurbans)

    I wrote Grokking AI Algorithms, 2nd Edition.

  2. Brain food: The blank canvas problem

    (Rishal Hurbans)

    It's been a number of weeks of silence, so welcome back to brain food.

  3. Brain food: Storytelling with Batman, and your 100 billion neurons

    (Rishal Hurbans)

    Welcome to this week's brain food.

  4. Brain food: Survivorship bias in work and life, Midjourney app design, and spicy benefits

    (Rishal Hurbans)

    Welcome to this week's brain food.

  5. Brain food: Metric-driven effort, AI car design, and mouse DNA

    (Rishal Hurbans)

    Welcome to this week's brain food.

  6. Brain food: Deep work vs collaboration, AI sneaker design, and the job of sleep

    (Rishal Hurbans)

    Welcome to this week's brain food.

  7. Brain food: Focused communication, AI dashboards, and fighting tooth and nail

    (Rishal Hurbans)

    Welcome to this week's brain food.

  8. Brain food: Speaking last and the human need for collaboration

    (Rishal Hurbans)

    Welcome to this week's brain food.

  9. Ideas everyone should know

    (Rishal Hurbans)

    It's too easy to get caught up in our daily lives and immediate objectives, and forget about the wonderful universe we live in.

  10. Interacts App • Effective facilitation

    (Rishal Hurbans)

    During the pandemic of 2020, we were forced to remain at home, and work remotely.

  11. Reinforcement learning with Q-learning

    (Rishal Hurbans)

    Like other machine learning algorithms, a reinforcement learning model needs to be trained before it can be used.

  12. Intuition of reinforcement learning

    (Rishal Hurbans)

    Reinforcement learning (RL) is an area of machine learning inspired by behavioral psychology.

  13. Introduction to purpose-specific neural networks

    (Rishal Hurbans)

    Artificial neural networks (ANNs) are versatile and can be designed to address different problems.

  14. Intuition of data in artificial neural networks

    (Rishal Hurbans)

    To explore the workings of multi-node ANNs, consider an example dataset related to car collisions.

  15. Intuition of neurons in artificial neural networks

    (Rishal Hurbans)

    Artificial neural networks (ANNs) are powerful tools in the machine learning toolkit, used in a variety of ways to accomplish objectives such as image recognition, language processing, and game playing.