machine-learning-link

모두의 딥러닝

https://www.youtube.com/playlist?list=PLlMkM4tgfjnLSOjrEJN31gZATbcj_MpUm

Deep learning simplified

https://www.youtube.com/playlist?list=PLjJh1vlSEYgvGod9wWiydumYl8hOXixNu

katacoda deep learning

https://www.katacoda.com/courses/machine-learning

아래 3가지만 합니다.

1. getting started
2. Layers in Tensorflow
3. Deep learning with tensorflow

Stanford CS231n 2017

2018 버전 있는지 확인

https://www.youtube.com/playlist?list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk

Siraj Raval youtube

개념적인 이해 필요할 때 영상 검색
https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A

Learn - Guide 부분 전부 다�

https://www.tensorflow.org/tutorials/

• TensorFlow Guide
• High Level APIs
• Keras
• Eager Execution
• Importing Data
• Introduction to Estimators
• Estimators
• Premade Estimators
• Checkpoints
• Feature Columns
• Datasets for Estimators
• Creating Custom Estimators
• Accelerators
• Using GPUs
• Using TPUs
• Low Level APIs
• Introduction
• Tensors
• Variables
• Graphs and Sessions
• Save and Restore
• Control flow
• Ragged Tensors
• ML Concepts
• Embeddings
• Debugging
• TensorFlow Debugger
• TensorBoard
• Visualizing Learning
• Graphs
• Histograms
• Performance
• Overview
• Data input pipeline
• Benchmarks
• Extend
• TensorFlow architecture
• Create an op
• Custom filesystem plugin
• Custom file and record formats
• Model files
• Language bindings
• C++ guide
• Misc
• TensorFlow Version Compatibility
• Frequently Asked Questions

3D CNN

https://www.kaggle.com/shivamb/3d-convolutions-understanding-and-implementation

3d cnn github

https://github.com/search?o=desc&q=3d+cnn&s=stars&type=Repositories