Memuat
Memuat
Need a deep learning model trained for a specific dataset? Our team helps design neural network architecture, data preprocessing, training, model evaluation, and deployment according to your research or product needs.
We handle deep learning projects for theses, master's theses, scientific journals, and data science competitions, using TensorFlow, Keras, and PyTorch.
From simple projects to complex systems, we adapt the scope to your needs and budget.
Perceptron, activation, backpropagation, gradient descent, regularization, dropout.
Convolutional layer, pooling, image classification, object detection with YOLO/SSD.
Sequence modeling, time series, basic NLP, sentiment analysis with LSTM.
Fine-tuning pretrained model (ResNet, EfficientNet, BERT) for specific tasks.
Confusion matrix, ROC, cross-validation, hyperparameter tuning, and model interpretation.
TensorFlow Serving, ONNX, Flask API, or integration into web/mobile apps.
Discussion of project requirements, desired features, and expected timeline.
We provide transparent time and cost estimates. Work begins after agreement is reached.
Progress is communicated regularly, you can monitor and provide feedback.
Output is tested and revised according to the package until the result meets the agreement.
The file/output is handed over complete with documentation and support during the warranty period.
We also offer Deep Learning courses, from beginner to advanced, online, with certificate.
Lihat Kursus Deep LearningImage classification, object detection, image segmentation, NLP (sentiment analysis, text classification), time series forecasting, recommendation system, and anomaly detection.
Yes, we are working on deep learning model implementations for S1 thesis, S2 dissertation, and scientific journals.
Basic model implementation: 7–14 days. Research with complete experiments: 2–4 weeks.
Ideally yes. But we can help find relevant public datasets or perform data augmentation.
TensorFlow/Keras or PyTorch, according to preference or project needs.
Yes, we help with deployment via Flask API, TensorFlow.js, or TensorFlow Lite for mobile.
Yes, complete reports are available: architecture, training history, evaluation, and result analysis.
Describe your research topic, data type, and task you want to solve. We will provide an estimate.
Free initial consultation with no commitment. We provide transparent time and cost estimates before work begins.
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