Learn TensorFlow Pro

LiveSoftecks257 apps · 6.5M installsEducation$4.19in.softecks.tensorflow.pro

Study TensorFlow, AI, ML, neural networks & tools offline.

Alert me★ WatchOpen in Play ↗
Total installs
0
exact · Play shows 0+
Installs / day
0
7-day avg · last day 0
Rating
—★
— ratings · — reviews
Released
18 Sept 2026
26d ago
Last update
18 Sept 2026
v2.1 pro · 26d ago
Countries
—
not checked yet

Installs per day

gain of the exact counter
01234511 Oct12 Oct

Daily tracking since 10 Oct 2026 · history grows every day

Install history

exact counter from Google Play
01210 Oct11 Oct12 Oct

Daily tracking since 10 Oct 2026 · history grows every day

Change timeline

Full history

No changes recorded yet. We compare every crawl with the previous one and list title, icon, screenshots, description, version, price and availability changes here.

Country availability

Availability has not been checked for this app yet. “Check all countries” looks the app up in about 140 Google Play storefronts and shows where it is live, listed but not installable, or missing — plus any country-specific (custom) store listings.

Top countries

Country data will be available soon.

We estimate where downloads come from using the app’s position in Google Play’s top charts in about 140 countries. This app is not in any chart we have collected yet; the estimate appears as soon as it is.

Top chart positions

Not in any tracked top chart.

App manifest

Read this app's manifest from Google Play: permissions, declared SDKs, components and AdMob app ID. Saved analysis appears here automatically.

Manifest analysis reads only the required APK ranges. Base APK downloads may need separate device splits to install.

Data safety

declared by the developer on Google Play
  • No data shared with third parties
  • No data collected

This is the developer's own declaration, summarised from the Play listing. The permissions below show what the app is technically able to access.

Permissions

6 in 1 group
0 Sensitive1 Notable5 Routine
OtherNotable6

Access to miscellaneous device features that don't fit other categories

  • Keep your phone's processor or screen from going to sleep, which can use more batteryprevent device from sleeping · WAKE_LOCK
  • Check whether you are online and whether you use Wi-Fi or mobile dataview network connections · ACCESS_NETWORK_STATE
  • Connect to the internet to load content and send datafull network access · INTERNET
  • Make your phone vibratecontrol vibration · VIBRATE
  • Check with Google Play that you got this app legitimatelyGoogle Play license check · com.android.vending.CHECK_LICENSE
  • Receive push messages sent from the app's servers over the internetreceive data from Internet · com.google.android.c2dm.permission.RECEIVE

Sensitive = can reach personal data, location, camera/mic or act on your behalf. Notable = changes how your device behaves. Routine = normal for almost every app. Source: Google Play's permission list for all versions of this app.

Store listing

Full description
Learn TensorFlow Pro is an AI and machine learning learning app for students, developers and data science beginners who want structured TensorFlow lessons with AI model tools. When tensors, CNNs, RNNs, attention, optimizers and training metrics feel complex, this app gives you one organized place to study, take notes, save lessons and use TensorFlow tools for projects, interviews and study. 📚 5 TensorFlow Learning Subjects • Foundations & Overview • Math & ML Fundamentals • Setup & Libraries • Architectures: CV, NLP & Classical • Training, Optimization & Experiments ⚙️ Core Features Deep Dive ✅ Complete TensorFlow learning path Study TensorFlow foundations, AI ecosystem concepts, tensors, data workflows, installation ideas, high-level APIs, model training, losses, optimizers and experiments. ✅ Deep learning architecture support Learn perceptrons, MLPs, CNNs, RNNs, embeddings, LSTM, GRU, attention, multi-head attention, transformers, computer vision and NLP concepts. ✅ 45 TensorFlow tools Use tools for tensor shape, tensor element count, memory size, dense layer parameters, neural network parameters, matrix multiplication shape, batch size, training steps, epoch steps, learning rate, activations, softmax, losses, accuracy and gradient descent. ✅ Advanced model calculators Work with Conv2D output shape, Conv2D parameters, FLOPs, Conv2D parameters, FLOPs, pooling, receptive field, feature map memory, batch normalization, dropout, LSTM, GRU, embeddings, attention, transformer parameters, model memory, GPU memory, quantized size, inference throughput and architecture planning. ✅ Notes, PDF and print support Create notes for tensors, layer shapes, CNN formulas, RNN ideas, optimizer steps, activation functions and training observations. Save articles as PDF or print for classroom revision, projects, interviews and study records. ✅ Offline, bookmark and search Read lessons offline, bookmark important content and quickly search TensorFlow, AI, machine learning, deep learning, CNN, RNN, transformer, optimizer, loss, activation and model tools. 👥 Who Is This For? • Students can revise TensorFlow, neural networks, CNNs, RNNs, losses, optimizers and AI project topics before exams, viva sessions or lab submissions. • Developers can plan model dimensions, layer parameters, memory usage, FLOPs and inference throughput before writing code in a real TensorFlow project. • Data science beginners can understand key deep learning vocabulary such as tensors, softmax, cross-entropy, gradient descent, embeddings, LSTM, GRU and attention. • Project and interview learners can use the app as a mobile reference for model architecture, training setup, parameter counting and ML workflow revision. 💡 Why Choose Learn TensorFlow Pro? General AI tutorials can be scattered or too code-heavy. Learn TensorFlow Pro combines structured lessons, 30 How-To topics, notes, PDF/print support, bookmarks, search and 45 calculators in one clean app. It helps learners connect TensorFlow concepts with practical model planning. ❓ Frequently Asked Questions Q: Can I study TensorFlow offline? A: Yes. Lessons can be accessed offline after installation, making the app useful for classrooms, travel and quick AI revision. Q: What TensorFlow tools are included? A: It includes tools for tensors, memory, dense layers, activations, losses, CNNs, RNNs, embeddings, attention, transformers, FLOPs, GPU memory and model size. Q: Is this useful for deep learning projects? A: Yes. It helps you understand model shapes, parameter counts, training steps, learning rate, loss functions, memory footprint and architecture planning. Q: Is this a live coding IDE? A: No. It is an educational TensorFlow reference app with calculators and study content, not a live compiler, notebook or cloud GPU. 🚀 Download Learn TensorFlow Pro today and start learning TensorFlow, AI, machine learning, neural networks, CNNs, RNNs, transformers, training, optimization and deep learning tools offline.

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