Posts

Internet resources and references for building NLP projects

  1. Text Generation with GPT2 Model using HuggingFace | NLP Hugging Face Project Tutorial

    1. Intro

      Welcome to Tutorial 3 of our NLP with HuggingFace series! In this exciting installment, we dive deep into the world of Text Generation using the powerful GPT-2 model. 🚀

      Discover the magic of transforming prompts into creative and contextually rich text outputs. We’ll guide you step by step through the process of leveraging HuggingFace’s GPT-2 model for crafting compelling narratives, generating code, and much more. 📝✨

      Whether you’re a seasoned NLP enthusiast or just beginning your journey, this tutorial will equip you with the skills to unlock the art of automatic text generation. Join us as we unravel the intricacies of GPT-2 and showcase its ability to generate fluent and coherent content.

      Don’t miss out on this educational adventure! Like, subscribe, and hit the notification bell to stay updated with the latest in Natural Language Processing and HuggingFace magic. Get ready to take your text generation game to the next level with NLP and GPT-2. Let’s dive in!

    2. Author:

      1. YouTube channel: KGP Talkie
      2. YouTube channel link: KGP Talkie

    3. GitHub project: NLP-Tutorials-with-HuggingFace

    4. Youtube video link: 3- Text Generation with GPT2 Model using HuggingFace | NLP Hugging Face Project Tutorial

  2. Глубокое обучение. Лекция 2. Многослойный персептрон (2019-2020)
    1. Author:
      1. YouTube channel: Евгений Разинков
      2. YouTube channel link: Евгений Разинков
    2. Youtube video link: Глубокое обучение. Лекция 2. Многослойный персептрон (2019-2020)
  3. [DL] Training very deep models using residual connections
    1. Author:
      1. Badri Adhikari personal website
        1. An example concept map drawn by Kate Arendes, a student who took Badri Adhikari’s Deep Learning course in Spring 2022.
      2. YouTube channel: Badri Adhikari
      3. YouTube channel link: Badri Adhikari
    2. Youtube video link: [DL] Training very deep models using residual connections