DeeprAI Docs

Official DeeprAI documentation.

Getting Started

How to set up your first network

Set up your first Network

With Deepr it is quite easy to start making your own neural network model. This chapter will show...

Feed Forward Model

Creating a layer

Function Signature def add_dense( neurons: int, activation: str = 'sigmoid', drop...

Configuring Loss/Optimizers

Function Signature def config( optimizer: str = 'gradient descent', loss: str = 'mean ...

Training a network

Function Signature def train_model( train_inputs: np.ndarray, train_targets: np.ndarra...

Running data through a network

Function Signature def run( self, inputs: np.ndarray ) -> np.ndarray: Parameters ...

Viewing network information

Function Signature def specs(self) -> str: Return Value output (str): A string representatio...

Graphing

Function Signature def graph(self, metric: str = "cost") -> None: Parameters metric (str, op...

Saving a Model

Function Signature def save(self, file_location: str) -> None: Parameters file_locatio...

Loading a Model

Function Signature def load(self, file_location: str) -> None: Parameters file_locatio...

Activation Functions

How to use the activations in your own project

Loss Functions

Set up loss functions for your own project

Embeddings

Positional Embedding

Function Signature def embed_position(sequence: np.ndarray) -> np.ndarray: Parameters ...

Word Vecrotization

Module Import: from deeprai.embedding import word_vectorize Class Definition: class Wo...

Tools

Tools for helping create neural networks

Noise

Module: deeprai.tools.noise This module provides a set of classes for introducing different type...

Toolkit

Module: deeprai.tools.toolkit This module provides a collection of utility functions designed fo...

Regression

Regression Models

Linear Regression

Module: deeprai.models.regression.linear_regression This module introduces a simple Linear Regre...

Poly Regression

Module: deeprai.models.regression.poly_regression Class: PolyRegression A class representatio...

Sine Regression

Module: deeprai.models.regression.sine_regression Class: SineRegression A class representatio...

K-Nearest Neighbors

K-nearest neighbors (KNN) is a supervised machine learning algorithm that classifies a data point...

Instant classifier

Instant Classifier Function Function Signature def instant_classifier(self, x_vals, y_vals,...

Store Data in KNN

Storing Values in KNN Classifier Function Signature def store_vals(self, x_values, y_values, ...

Classifying a Query Point

Classifying a Query Point with KNN Function Signature def classify(self, query_point): Par...

Calculating Classification Probability

Calculating Classification Probability with KNN Function Signature def classify_probability(s...

Retrieving Nearest Neighbors

Retrieving Nearest Neighbors with KNN Function Signature def classify_neighbors(self, query_p...

Configuring Distance Metric

Configuring Distance Metric for KNN Function Signature def config_distance(self, distance): ...