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MITDeepLearning/introtodeeplearning

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8,702 نجوم·4,540 تفرعات·Jupyter Notebook·MIT·5 مشاهدات

Introtodeeplearning

This repository contains the lab materials and Jupyter notebooks for MIT's introductory deep learning course, using TensorFlow and Keras for hands-on exercises. The courseware is delivered as pre-configured notebooks that run on Google Colaboratory's cloud infrastructure, eliminating the need for local software installation.

Learners can toggle the Colab runtime to a GPU-backed hardware accelerator for faster neural network training during lab exercises. A shared Python package provides helper functions that standardize common operations across all notebooks. The course guides students through a defined sequence of steps to format and submit completed lab work for course-hosted deep learning competitions.

Features

  • Deep Learning Courses - Provides hands-on deep learning exercises in a structured course setting with pre-configured notebooks and automated grading support.
  • Deep Learning Labs - Opens pre-configured Jupyter notebooks in Google Colaboratory so learners can complete exercises without local setup.
  • Managed Cloud Notebooks - Opens and runs Jupyter notebooks in Google Colaboratory without local setup, enabling remote deep learning practice.
  • Cloud Execution Environments - Provides pre-configured Jupyter notebooks that run entirely on Google Colaboratory's cloud infrastructure.

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  • Jupyter Notebook Curricula - Delivers a structured deep learning curriculum as pre-configured Jupyter notebooks with embedded exercises.
  • GPU Acceleration - Lets learners toggle the Colab runtime to a GPU hardware accelerator for faster neural network training.
  • GPU-Accelerated Training - Switches Colab runtimes to GPU hardware for faster neural network training during lab exercises.
  • Course Competition Submissions - Guides learners through a defined sequence of steps to format and submit completed lab work for course competitions.

    • سجل النجوم

    مخطط تاريخ النجوم لـ mitdeeplearning/introtodeeplearningمخطط تاريخ النجوم لـ mitdeeplearning/introtodeeplearning

    بدائل مفتوحة المصدر لـ Introtodeeplearning

    مشاريع مفتوحة المصدر مشابهة، مرتبة حسب عدد الميزات المشتركة مع Introtodeeplearning.
    • ageron/tf2_courseالصورة الرمزية لـ ageron

      ageron/tf2_course

      1,909عرض على GitHub↗

      This project is an educational resource consisting of a structured curriculum of interactive notebooks designed to teach deep learning concepts and neural network architectures. It focuses on providing hands-on experience with the TensorFlow 2 framework and the Keras API, guiding users through practical exercises to master machine learning techniques. The repository distinguishes itself by combining instructional content with the technical requirements for high-performance computing. It includes specific guides for configuring local development environments to support hardware-accelerated tra

      Jupyter Notebook
      عرض على GitHub↗1,909
    • mrdbourke/tensorflow-deep-learningالصورة الرمزية لـ mrdbourke

      mrdbourke/tensorflow-deep-learning

      5,914عرض على GitHub↗

      This is a comprehensive deep learning course delivered entirely through Jupyter Notebooks, designed to teach neural network construction using TensorFlow 2.x. The curriculum follows a sequential-model-first pedagogy, introducing the Sequential API before moving to functional and subclassing approaches, and covers the full spectrum of model building from regression and classification through convolutional neural networks, natural language processing, and time series forecasting. The course is structured around a checkpoint-based training workflow that saves the best model weights during traini

      Jupyter Notebook
      عرض على GitHub↗5,914
    • mlnlp-world/deeplearning-muli-notesالصورة الرمزية لـ MLNLP-World

      MLNLP-World/DeepLearning-MuLi-Notes

      3,790عرض على GitHub↗

      This project is a deep learning study resource and educational curriculum designed for mastering neural network architectures and theory. It serves as a learning platform that combines theoretical notes and mathematical formulas with practical code implementations. The curriculum is centered on the PyTorch framework, providing a structured path for building and training models through annotated code examples and technical reviews of mathematical foundations. The resource utilizes interactive notebooks for executing machine learning algorithms and experimenting with data models. Theoretical

      Jupyter Notebookdeep-learningpytorch
      عرض على GitHub↗3,790
    • atcold/nyu-dlsp20الصورة الرمزية لـ Atcold

      Atcold/NYU-DLSP20

      6,809عرض على GitHub↗

      NYU-DLSP20 is a self-paced deep learning course repository that provides a complete educational curriculum covering supervised and unsupervised deep learning fundamentals. The course materials include lecture slides, Jupyter notebooks, and YouTube video recordings, all organized around PyTorch-based code exercises and neural network architecture tutorials. The course is structured as a sequential progression from fundamentals to advanced architectures, with each lecture building on previous material. Assignments are distributed as Jupyter notebooks that students complete and submit, ensuring

      Jupyter Notebookdeep-learningjupyter-notebookneural-nets
      عرض على GitHub↗6,809
    عرض جميع البدائل الـ 30 لـ Introtodeeplearning→

    الأسئلة الشائعة

    ما هي وظيفة mitdeeplearning/introtodeeplearning؟

    This repository contains the lab materials and Jupyter notebooks for MIT's introductory deep learning course, using TensorFlow and Keras for hands-on exercises. The courseware is delivered as pre-configured notebooks that run on Google Colaboratory's cloud infrastructure, eliminating the need for local software installation.

    ما هي الميزات الرئيسية لـ mitdeeplearning/introtodeeplearning؟

    الميزات الرئيسية لـ mitdeeplearning/introtodeeplearning هي: Deep Learning Courses, Deep Learning Labs, Managed Cloud Notebooks, Cloud Execution Environments, Jupyter Notebook Curricula, GPU Acceleration, GPU-Accelerated Training, Course Competition Submissions.

    ما هي البدائل مفتوحة المصدر لـ mitdeeplearning/introtodeeplearning؟

    تشمل البدائل مفتوحة المصدر لـ mitdeeplearning/introtodeeplearning: ageron/tf2_course — This project is an educational resource consisting of a structured curriculum of interactive notebooks designed to… mrdbourke/tensorflow-deep-learning — This is a comprehensive deep learning course delivered entirely through Jupyter Notebooks, designed to teach neural… mlnlp-world/deeplearning-muli-notes — This project is a deep learning study resource and educational curriculum designed for mastering neural network… atcold/nyu-dlsp20 — NYU-DLSP20 is a self-paced deep learning course repository that provides a complete educational curriculum covering… mrdbourke/zero-to-mastery-ml — This project is a machine learning educational curriculum and learning platform delivered through interactive Jupyter… fastai/course-v3 — This repository is a comprehensive educational program and deep learning framework designed to teach practical deep…