All Projects → into-ai → Deeplearning2020

into-ai / Deeplearning2020

Licence: mit
course materials for introduction to deep learning 2020

Projects that are alternatives of or similar to Deeplearning2020

Practical rl
A course in reinforcement learning in the wild
Stars: ✭ 4,741 (+5167.78%)
Mutual labels:  jupyter-notebook, mooc, course-materials
Notebooks
Learn Python for free using open-source notebooks in Hebrew.
Stars: ✭ 877 (+874.44%)
Mutual labels:  jupyter-notebook, learning
Awesome Ai Books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Stars: ✭ 855 (+850%)
Mutual labels:  jupyter-notebook, learning
Play With Machine Learning Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Stars: ✭ 1,037 (+1052.22%)
Mutual labels:  jupyter-notebook, mooc
Sklearn Classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Stars: ✭ 518 (+475.56%)
Mutual labels:  jupyter-notebook, learning
Course V3
The 3rd edition of course.fast.ai
Stars: ✭ 4,785 (+5216.67%)
Mutual labels:  jupyter-notebook, mooc
Practical dl
DL course co-developed by YSDA, HSE and Skoltech
Stars: ✭ 1,006 (+1017.78%)
Mutual labels:  jupyter-notebook, course-materials
Mlcourse
Machine learning course materials.
Stars: ✭ 388 (+331.11%)
Mutual labels:  jupyter-notebook, course-materials
Mypresentations
this is my presentaion area .个人演讲稿展示区,主要展示一些平时的个人演讲稿或者心得之类的,
Stars: ✭ 53 (-41.11%)
Mutual labels:  jupyter-notebook, learning
Storytelling With Data
Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).
Stars: ✭ 59 (-34.44%)
Mutual labels:  jupyter-notebook, course-materials
Course Computational Literary Analysis
Course materials for Introduction to Computational Literary Analysis, taught at UC Berkeley in Summer 2018, 2019, and 2020, and at Columbia University in Fall 2020.
Stars: ✭ 74 (-17.78%)
Mutual labels:  jupyter-notebook, course-materials
Hypatia
A JavaScript open source LMS (eLearning platform) for MOOCs and online courses
Stars: ✭ 478 (+431.11%)
Mutual labels:  learning, mooc
Sagefy
🔭 Learn anything, adapted for you. Free.
Stars: ✭ 80 (-11.11%)
Mutual labels:  learning, mooc
Amazon Sagemaker Examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Stars: ✭ 6,346 (+6951.11%)
Mutual labels:  jupyter-notebook, learning
Deeplearningzerotoall
TensorFlow Basic Tutorial Labs
Stars: ✭ 4,239 (+4610%)
Mutual labels:  jupyter-notebook, lab
2016learnpython
Python Teaching, Seminars for 2nd year students of School of Linguistics NRU HSE
Stars: ✭ 32 (-64.44%)
Mutual labels:  jupyter-notebook, course-materials
Jupyter Edu Book
Teaching and Learning with Jupyter
Stars: ✭ 325 (+261.11%)
Mutual labels:  jupyter-notebook, learning
Learn Something Every Day
📝 A compilation of everything that I learn; Computer Science, Software Development, Engineering, Math, and Coding in General. Read the rendered results here ->
Stars: ✭ 362 (+302.22%)
Mutual labels:  learning, course-materials
Ppd599
USC urban data science course series with Python and Jupyter
Stars: ✭ 1,062 (+1080%)
Mutual labels:  jupyter-notebook, course-materials
Okfn.github.com
Open Knowledge Labs website (and general issue tracker).
Stars: ✭ 75 (-16.67%)
Mutual labels:  jupyter-notebook, lab

OpenHPI Deeplearning 2020

Build Status PyPI version


Materialien zum Kurs Eine praktische Einführung in Deep Learning für Computer Vision auf OpenHPI.

Inhaltsverzeichnis

Wie nutze ich dieses GitHub Repository?

Dieses Repository dient als Ort für Materialien zu diesem Kurs. Du benötigst kein GitHub Account und musst das Repository auch nicht verwenden, da sich die wichtigen Materialien auch auf OpenHPI finden lassen.

Du kannst das Repository auf zwei verschiedene Arten verwenden:

  1. Du kannst dir die Materialien, die du oben im Inhaltsverzeichnis findest online anschauen, daraus kopieren oder Dateien herunterladen. Du kannst auch das gesamte Repository als ZIP herunterladen. Falls du .ipynb-Notebooks herunterlädst kannst du diese dann mit deinem jupyter notebook Server öffnen, indem du im Browserfenster des Server zu dieser Datei navigierst und sie öffnest.

  2. Du kannst das Repository mit

    git clone https://github.com/into-ai/deeplearning2020.git
    

    klonen. Damit hast du das Repository ebenfalls lokal, aber kannst es außerdem mit

    git pull origin master
    

    aktualisieren, sobald neue Inhalte verfügbar werden. Das Öffnen von Notebooks funktioniert genauso wie in Variante 1. Wir empfehlen diesen Workflow aber nur denjenigen, die sich bereits ein bisschen mit git auskennen oder sich hier einlesen wollen.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].