Lab Materials for MIT 6.S191: Introduction to Deep Learning
Complete hands-on labs for learning deep learning concepts at your own pace.
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introtodeeplearning has 8.7k stars on GitHub. It has been forked 4.6k times. introtodeeplearning is written mainly in Jupyter Notebook. It has been in active development since 2018. introtodeeplearning is available under the MIT license. Its main topics are computer-vision, deep-learning, deep-reinforcement-learning, deeplearning.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
introtodeeplearning is an open-source project. It is released under the MIT license.
Yes. introtodeeplearning is free and open source — you can use, modify and self-host it.
introtodeeplearning is available under the MIT license.
introtodeeplearning is written mainly in Jupyter Notebook.
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