Learn Deep Learning vs Equation Loop
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Learn Deep Learning
Master deep learning, neural networks, and AI with a comprehensive curriculum. Learn from Python fundamentals to building and deploying advanced AI models, becoming a job-ready AI engineer.
- Deep Learning Fundamentals
- Core AI Architectures (CNNs, RNNs, Transformers)
- Popular Libraries & Frameworks (PyTorch, TensorFlow)
- Computer Vision & MLOps
- Model Deployment & Cloud Infrastructure
- Edge & Mobile AI
- AI Security & Ethics
Read full descriptionHide full description
Master Deep Learning, Neural Networks, and Artificial Intelligence with the most comprehensive learning app. From Python fundamentals to training Large Language Models (LLMs), building Generative AI apps, and deploying models to the cloud — this is your complete path to becoming an AI Engineer. COMPLETE CURRICULUM - Zero to AI Expert.Start from scratch and become job-ready with our structured learning path: Deep Learning Fundamentals: • Introduction to Deep Learning & Neural Networks • How Deep Learning differs from traditional Machine Learning • Artificial Neural Networks (ANN) architecture & training • Loss Functions, Optimizers (Adam, SGD, RMSprop) • Regularization: Dropout, Batch Norm, L1/L2 Core Architectures: • Convolutional Neural Networks (CNNs) for Computer Vision • Recurrent Neural Networks (RNNs), LSTM & GRU for sequences • Transformers: Attention mechanism • Generative Models: GANs, VAEs, Diffusion Models • Autoencoders & Self-Supervised Learning Libraries & Frameworks: • PyTorch: Tensors, Autograd, nn.Module, training loops • TensorFlow & Keras: Sequential, Functional API, model deployment • JAX: High-performance ML research framework • NumPy, Pandas, Scikit-learn, SciPy foundations Computer Vision: • Image Classification with CNNs • Object Detection: YOLO, R-CNN, SSD • Image Segmentation: U-Net, Mask R-CNN • Face Recognition & Facial Landmarks MLOps & Engineering: • ML lifecycle management & experiment tracking • MLflow, Weights & Biases (W&B) for logging • Kubeflow pipelines & Apache Airflow orchestration • CI/CD for Machine Learning • Model versioning, registries & A/B testing • Monitoring, drift detection & model retraining Production & Deployment: • FastAPI & Flask for serving ML models • gRPC for high-performance model inference • Docker containerization for ML apps • Load balancing, caching & request queuing • PostgreSQL, MongoDB & Redis integration • Vector databases: Pinecone, Weaviate, Milvus for RAG Cloud Infrastructure: • AWS SageMaker, EC2, Lambda for ML workloads • Azure Machine Learning platform • Kubernetes (K8s) & Helm for ML orchestration Hardware & Compute • NVIDIA GPUs, CUDA cores & Tensor cores • Neural Processing Units (NPU) & Apple Neural Engine Edge & Mobile AI: • TensorFlow Lite for mobile deployment • Core ML for iOS apps • ONNX for cross-platform model export AI Security & Ethics: • AI safety & alignment fundamentals • Adversarial attacks & robustness • Data poisoning & model stealing defenses • Fairness, bias detection & mitigation Specialized Domains: • Medical AI: Diagnosis, radiology, drug discovery • Robotics: Perception, control, reinforcement learning • Financial AI: Trading, fraud detection, risk modeling • Bioinformatics: Protein folding, genomics • Cybersecurity: Threat detection, anomaly detection Research & Expert Topics: • Foundation models, scaling laws & emergent abilities • Mixture of Experts (MoE) & Sparse Transformers • World models, neuro-symbolic AI • Meta-learning, continual learning, curriculum learning AI TUTOR - Your 24/7 Learning Assistant: • Ask any Deep Learning or AI question • Get explanations of neural network architectures • Debug model training issues with AI help GAMIFIED LEARNING - Stay Motivated: • Daily learning streaks with fire animations • XP points & level progression • Study reminders with push notifications POWERFUL ORGANIZATION TOOLS: • Bookmarks: Save lessons for quick access • Notes: Write personal notes on any lesson • Search: Find anything instantly across all lessons • Dark mode for comfortable night learning LEARN OFFLINE - Anytime, Anywhere: • All content are offline access • Study on your commute without internet PERFECT FOR: • Aspiring AI & Machine Learning Engineers • Data Scientists expanding into Deep Learning • Software developers transitioning to AI • Students studying computer science or AI • Career changers entering the AI field Start your Deep Learning Journey today !
Equation Loop
Read full descriptionHide full description
Equation Loop – Learn Linear Equations the Fun Way Turn algebra into an adventure! Equation Loop helps students understand and solve linear equations through interactive practice, clear step-by-step explanations, and a calm, kid-friendly design that makes learning feel approachable rather than stressful. Whether you're just starting with systems of equations or want extra practice, Equation Loop guides you through concepts in a simple, visual, and encouraging way. FEATURES • Interactive equation solver for pairs of linear equations • Automatic Loopion generation for endless practice • Step-by-step explanations that show every simplification and operation • Built-in math keyboard designed for algebra • Kid-friendly design with soft colors and friendly visuals • Adjustable difficulty levels for different learning stages PRIVACY AND SAFETY Equation Loop is built for a distraction-free, classroom-friendly experience: • No ads • Works 100% offline • No analytics, no tracking, and no data collection of any kind • Optional in-app purchases available, including a one-time lifetime unlock or subscription, depending on your preference PERFECT FOR • Middle school and high school students learning algebra • Parents seeking an offline, ad-free study tool • Teachers using iPads in classrooms • Anyone wanting to strengthen equation-solving skills step by step Start your math adventure! Download Equation Loop and make linear equations click—one fun step at a time.
Screenshots
Verdict
The clearest difference is price: Equation Loop at Free against Learn Deep Learning's $2.99. Equation Loop also leads on update cadence (every 3 weeks vs every 4 months) and iOS requirement (15.6 vs 17). Learn Deep Learning's advantage is in-app purchases (none vs 2). On ads and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Equation Loop is free to download; Learn Deep Learning costs $2.99 up front. Equation Loop sells 2 in-app purchases, starting at $3.99 per month. Learn Deep Learning asks for nothing beyond the download.
Learn Deep Learning ships an update every 4 months, Equation Loop every 3 weeks. The most recent releases landed on October 20, 2026 and October 13, 2026 respectively.
| Parameter | Learn Deep Learning | Equation Loop |
|---|---|---|
| Price | $2.99 | Free — better |
| Rating | 5.0 (2 ratings) — better | — |
| Number of ratings | 2 — better | — |
| Update frequency | Every 4 months | Every 3 weeks — better |
| Ads | No | No |
| In-app purchases | No — better | Yes |
| Monetization | Paid | — |
| Devices | iPhone, iPad | iPhone, iPad, iPod — better |
| Requires iOS | 17 | 15.6 — better |
| Further details — not scored | ||
| Size | 188 MB | 45 MB |
| Age rating | 9+ | 4+ |
| Developer | Shahbaz Khan | Monad Functor |
In-app purchases
Learn Deep Learning
No in-app purchases
Equation Loop
- Premium Subscription7 Days trial$3.991 Month
- Unlock Forever$9.99
Questions
Is Learn Deep Learning free?
Is Equation Loop free?
Do Learn Deep Learning or Equation Loop have ads?
Which is updated more often, Learn Deep Learning or Equation Loop?
Other comparisons





![Learn PHP Programming [PRO] Learn PHP Programming [PRO]](https://cdn3.appshunter.io/i/Purple221/b41803217287e0c541bfc38d70f62da7/AppIcon-0-0-1x_U007emarketing-0-11-0-85-220.png/512x0w.png)









