neowise

A Deep Learning library built from scratch with Python and NumPy

pip install

pip install neowise

Documentation

pypi Package Website

Features of neowise

• Get summary of your model, by calling model.summary
  
• Save your model in a .h5 file using model.save_model
  
• Load your saved model with model.load_model
  
• Train your model with less than 10 lines of code (excluding data processing), with a simple API
  
• Test your model with model.test
  
• Plot static graphs of Cost and Accuracy using model.plot
  
  
  
• Train using optimizers such as Gradient Descent, Momentum, RMSprop, Adam, Batch Gradient Descent and Stochastic Gradient Descent
  
• Train using Dropout regularization for deeper networks
  
• While, training the models, keep track of your model's progress through tqdm's progress bar
  
  
• Create animated graphs of Cost and Accuracy with model.plot and set animate=True to save images of plots which can then be fed to a GIF creator to create an animated GIF