What is multi-task neural net in hebel

This recipe explains what is multi-task neural net in hebel

Recipe Objective - Multitask neural net in Hebel?

Neural Network - Neural network is a circuit of neurons or in a broader sense, an Artificial Neural Network composes of nodes that are the basis of deep learning inspired by the human brain in the same way biologically created neurons signal each other, used in solving artificial intelligence problems. Neural networks comprise node layers, with an input layer, one or more hidden layers, and finally an output layer. Node assigns a number to its incoming connection known as 'weight'.

Sentiment Analysis Project on eCommerce Product Reviews with Source Code

Links for the more related projects:-

https://www.dezyre.com/projects/data-science-projects/deep-learning-projects
https://www.dezyre.com/projects/data-science-projects/neural-network-projects

Multi-Task Neural Net:-

class hebel.models.MultitaskNeuralNet(layers, top_layer=None, activation_function='sigmoid', dropout=0.0,
input_dropout=0.0, n_in=None, n_out=None, l1_penalty_weight=0.0, l2_penalty_weight=0.0)

What Users are saying..

profile image

Savvy Sahai

Data Science Intern, Capgemini
linkedin profile url

As a student looking to break into the field of data engineering and data science, one can get really confused as to which path to take. Very few ways to do it are Google, YouTube, etc. I was one of... Read More

Relevant Projects

Text Classification with Transformers-RoBERTa and XLNet Model
In this machine learning project, you will learn how to load, fine tune and evaluate various transformer models for text classification tasks.

MLOps Project for a Mask R-CNN on GCP using uWSGI Flask
MLOps on GCP - Solved end-to-end MLOps Project to deploy a Mask RCNN Model for Image Segmentation as a Web Application using uWSGI Flask, Docker, and TensorFlow.

Learn to Build Generative Models Using PyTorch Autoencoders
In this deep learning project, you will learn how to build a Generative Model using Autoencoders in PyTorch

End-to-End Speech Emotion Recognition Project using ANN
Speech Emotion Recognition using RAVDESS Audio Dataset - Build an Artificial Neural Network Model to Classify Audio Data into various Emotions like Sad, Happy, Angry, and Neutral

Build Time Series Models for Gaussian Processes in Python
Time Series Project - A hands-on approach to Gaussian Processes for Time Series Modelling in Python

Deploy Transformer-BART Model on Paperspace Cloud
In this MLOps Project you will learn how to deploy a Tranaformer BART Model for Abstractive Text Summarization on Paperspace Private Cloud

Build a Collaborative Filtering Recommender System in Python
Use the Amazon Reviews/Ratings dataset of 2 Million records to build a recommender system using memory-based collaborative filtering in Python.

Llama2 Project for MetaData Generation using FAISS and RAGs
In this LLM Llama2 Project, you will automate metadata generation using Llama2, RAGs, and AWS to reduce manual efforts.

Hands-On Approach to Causal Inference in Machine Learning
In this Machine Learning Project, you will learn to implement various causal inference techniques in Python to determine, how effective the sprinkler is in making the grass wet.

Time Series Project to Build a Multiple Linear Regression Model
Learn to build a Multiple linear regression model in Python on Time Series Data