Deep Learning with scikit-learn: PyTorch, TensorFlow and Caffe aren’t the only frameworks for Deep Learning. There is also a l library with a scikit-learn like API.
scikit-learn is my first choice when it comes to classical Machine Learning in Python. It has a good set of algorithms, supports sparse datasets, it is fast and has many utility functions, like cross-validation, grid search, etc.
When it comes to advanced modeling, scikit-learn many times falls shorts. If you need Boosting, Neural Networks or t-SNE,it is better to avoid scikit-learn.
scikit-learn has two basic implementations for Neural Nets. There is MLPClassifier for classification and MLPRegressor for regression. While both have a rich set of arguments, there isn’t an option to customize layers of a Neural Network (beyond setting the number of hidden units for each layer). There is also no GPU support.
A rich set of arguments for a MultiLayer Perceptron in sklearn
Gif from giphy
scikit-neuralnetwork addresses the issues with scikit-learn mentioned above. While there are already superior libraries available like PyTorch or Tensorflow, scikit-neuralnetwork may be a good choice for those coming from a scikit-learn ecosystem.
scikit-neuralnetwork is a deep neural network implementation without the learning cliff! This library implements multi-layer perceptrons as a wrapper for the powerful pylearn2 library that’s compatible with scikit-learn for a more user-friendly and Pythonic interface.
The past few decades have witnessed a massive boom in the penetration as well as the power of computation, and amidst this information.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
Artificial Neural Networks — Recurrent Neural Networks. Remembering the history and predicting the future with neural networks. A intuition behind Recurrent neural networks.
Fundamentals of Neural Network in Machine Learning. What is a Neuron? What is the Activation Function? How do Neural Network Works? How do Neural Networks Learn?