Machine Learning
November 23, 2021 · View on GitHub
Reading 📖
- Keras: The Python Deep Learning library
- SET-UP YOUR MAC FOR DEEP LEARNING WITH PYTHON, TENSORFLOW AND KERAS
- Calculus on Computational Graphs: Backpropagation
- Getting started with TensorFlow on iOS
- Apple’s deep learning frameworks: BNNS vs. Metal CNN
- Convolutional neural networks on the iPhone with VGGNet
- Getting Started with Deep MNIST and TensorFlow on iOS
- Use TensorFlow and BNNS to Add Machine Learning to your Mac or iOS App
- Develop Your First Neural Network in Python With Keras Step-By-Step
- Keras Tutorial: The Ultimate Beginner’s Guide to Deep Learning in Python
- Keras Deep Learning with Apple’s CoreMLTools on iOS 11
- Beginning Machine Learning with scikit-learn
- Machine Learning: End-to-end Classification
- macOS Machine Learning in 2019
Code 💻
- Code example uses TensorFlow to train a basic binary classifier on the Gender Recognition by Voice and Speech Analysis dataset
- "Hello world" in keras
- TensorFlow on iOS demo
Tools
- Anaconda - is the world’s most popular and trusted data science ecosystem.
- TensorFlow - An open-source software library for Machine Intelligence
- Caffe - Caffe is a deep learning framework made with expression, speed, and modularity in mind
- Keras - Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
- coremltools is a python package for creating, examining, and testing models in the .mlmodel format.
- 5 Genius Python Deep Learning Libraries
- DL4S - successor to Swift for TensorFlow