Artificial Neural Network

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3.6
39 reviews
Content rating
Everyone
10K+
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Content rating
Everyone
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About this app

Artificial Neural Network is a complete learning app for students, AI beginners, machine learning learners, engineering students, computer science learners, and anyone who wants to understand how neural networks work from basics to applications.

Learn ANN foundations, neurons, perceptrons, hidden layers, activation functions, forward propagation, backpropagation, regularization, deep learning, computer vision, forecasting, medical AI, engineering uses, and neural network performance in one structured offline app.

📚 13 Artificial Neural Network Sections
• ANN Foundations and Overview
• Neuron Models, Perceptrons and Architecture
• Learning Paradigms and Adaptive Networks
• Associative, Recurrent and Energy-Based Networks
• Activation, Propagation and Output Computation
• Backpropagation, Regularization and Optimization
• Deep Learning Foundations and Representations
• Universality, Gradient Stability and Training Challenges
• Pattern Recognition and Computer Vision
• Forecasting, Sequence Learning and Decision Systems
• Medical, Biological and Scientific Applications
• Industrial, Environmental and Engineering Applications
• Parallel Computing, Testing and Performance

✨ Core Features
✅ Detailed ANN concept explanations
Study neural network terminology, building blocks, operation, major types, neuron models, hidden layers, sigmoid neurons, linear separability, XOR, and architecture.

✅ Learning methods and network types
Understand supervised learning, unsupervised learning, adaptive networks, self-organizing maps, associative memory, Hopfield networks, Boltzmann machines, recurrent models, and energy-based networks.

✅ Propagation, training and optimization
Learn activation functions, nonlinear behavior, forward propagation, vectorization, output computation, gradient descent, backpropagation, regularization, initialization, local minima, and optimization.

✅ Deep learning and challenges
Explore shallow and deep networks, representations, universality, multiple inputs, step-function approximation, vanishing gradients, unstable gradients, and training difficulty.

✅ Real-world AI applications
Study ANN applications in image classification, transfer learning, object detection, semantic segmentation, forecasting, sequence learning, algorithmic trading, production scheduling, cancer detection, gene-expression analysis, gas-turbine diagnosis, pollution analysis, civil engineering, and signal detection.

✅ How-To section
Follow practical guides on how to understand artificial neurons, calculate neuron output, choose activation functions, build perceptrons, train networks, study backpropagation, recognize overfitting, and create an ANN learning roadmap.

✅ Offline learning
Study ANN and deep learning concepts anytime without internet. Useful for exam preparation, classroom revision, interview learning, and self-study.

✅ Bookmark and search
Bookmark key lessons and quickly search for neurons, perceptrons, activation functions, gradient descent, backpropagation, deep learning, recurrent networks, optimization, and AI applications.

🎯 Best For
• AI and machine learning beginners
• Computer science students
• Engineering students
• Data science learners
• Deep learning beginners
• ANN exam preparation
• Research learners
• Interview preparation

🚀 Why Choose Artificial Neural Network?
Artificial Neural Network gives you a structured path to learn a core foundation of modern AI. Instead of scattered notes, this app organizes ANN theory, learning methods, training challenges, and applications into easy sections.

Download Artificial Neural Network today and start learning ANN foundations, perceptrons, activation functions, backpropagation, deep learning, pattern recognition, forecasting, and AI applications.

Note: This app is designed for educational/reference purposes only. It is not a substitute for official textbooks, university courses, professional AI training, research papers, certification programs, or institutional syllabus.
Learn ANN, deep learning, backpropagation & AI applications offline.
Updated on
Aug 3, 2026

Data safety

Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
This app may share these data types with third parties
Device or other IDs
No data collected
Learn more about how developers declare collection
Data is encrypted in transit
Data can’t be deleted

Ratings and reviews

36 reviews
A Google user
December 15, 2018
when I click to notification link the app should redirect to the subject selected but what happened is that app redirect to general menu. can you correct this pb? by the way the app is very interresting. thanks for sharing.
8 people found this review helpful
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N A
October 21, 2020
Junk app. Made only for ad revenue purpose
1 person found this review helpful
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Brian Perkins
November 15, 2024
Hack
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What’s new

✅ Improved layout and design
✅ Made subject categories offline compatible
✅ Added How-to sections
✅ Enhanced offline support
✅ Improved search, bookmarks, performance and user experience
Content rating
Everyone
Learn more

App support

About the developer
Prabhu Thankaraju
vishwasparrow@gmail.com
101-B,Nishadham Bldg,1/5 Chipale,Panvel NAVI MUMBAI, Maharashtra 410206 India

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