Waveform Sound Generator vs Learn Deep Learning
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
Waveform Sound Generator
Generate custom sound waves with a single oscillator. Control wave shape, peak characteristics, and frequency to explore the physics of sound and human perception. Ideal for education in physics, music, and sound.
- Customizable waveform generation
- Single oscillator
- Control peak number, direction, amplitude, and sharpness
- Explore sound physics and perception
- Frequency range 0.2Hz - 20KHz
- Arbitrary waveform with up to 10 peak control points
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This is a sound or signal generator with one oscillator. It can play customisable wave form so you control the number, direction, amplitude and sharpness of the peaks. This instrument clearly demonstrates the physics of the sound and most importantly you can see that humans do not hear frequencies but amplitude acceleration (or peak sharpness). Also the peak position or direction inside the sound wave has no impact of human perception for the sound. You can even hear 0.2Hz sound of the peak is sharp enough and the frequency (self repetitiveness) of the signal is not actually meaningful for our ears. In nature there are no perfectly repeated waves and the sound has more free wave nature so what is important fo our sound recognition abilities is the peaks sharpness and the number and amplitude of those peaks :) Frequency domain and FFT for music can’t be more wrong and misleading. So work in time domain and handle those peaks to move the science and music ahead! The app can be used for physics, music or sound, education or what ever. Oscillator range 0.2Hz - 20KHz Arbitrary waveform with up to 10 peak control points. Peak width and possible peak vibration Stop using FFT for sound - it is CPU expensive and dead wrong :)
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
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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 !
Screenshots
Verdict
The clearest difference is price: Waveform Sound Generator at $1.99 against Learn Deep Learning's $2.99. Waveform Sound Generator also leads on iOS requirement (10.0 vs 17). On rating, ratings volume, update cadence and ads 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
Waveform Sound Generator costs $1.99 and Learn Deep Learning $2.99 up front. Neither carries in-app purchases, so what you see is what you pay.
On the App Store both sit at effectively the same score — 5.0 for Waveform Sound Generator against 5.0 for Learn Deep Learning. Both are backed by a comparable volume of ratings — 4 and 2 respectively.
Waveform Sound Generator ships an update every 8 months, Learn Deep Learning every 4 months. The most recent releases landed on October 7, 2026 and October 20, 2026 respectively.
| Parameter | Waveform Sound Generator | Learn Deep Learning |
|---|---|---|
| Price | $1.99 — better | $2.99 |
| Rating | 5.0 (4 ratings) | 5.0 (2 ratings) |
| Positive reviews | 75.0% of reviews | — |
| Number of ratings | 4 — better | 2 |
| Update frequency | Every 8 months | Every 4 months — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | Paid | Paid |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 10.0 — better | 17 |
| Further details — not scored | ||
| Size | 15 MB | 188 MB |
| Age rating | 4+ | 9+ |
| Developer | Aleksandar Mlazev | Shahbaz Khan |
Customer experience
Waveform Sound Generator
Learn Deep Learning
In-app purchases
Waveform Sound Generator
No in-app purchases
Learn Deep Learning
No in-app purchases
Questions
Is Waveform Sound Generator free?
Is Learn Deep Learning free?
Which has better reviews, Waveform Sound Generator or Learn Deep Learning?
Do Waveform Sound Generator or Learn Deep Learning have ads?
Which is updated more often, Waveform Sound Generator or Learn Deep Learning?
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