Satyanarayan

Deep Learning Practitioner
TensorFlow
Keras
PyTorch

Building and deploying deep learning systems — computer vision, sequence models, object detection and transformer-based NLP. Portfolio includes implementation, training, evaluation, and deployment-ready artifacts.

ANN
CNN
RNN

Technologies & Tools

Powerful technologies used to build intelligent deep learning solutions

Deep Learning Frameworks
PyTorch
TensorFlow
Keras
TorchVision
HuggingFace
Computer Vision Tools
OpenCV
Albumentations
YOLOv8 (Ultralytics)
Image Preprocessing
NLP Tools
Tokenizers
Word Embeddings
Seq2Seq Models
Transformer Architectures
Deployment Tools
FastAPI
Streamlit
TorchScript
ONNX Runtime
Jetson Nano

DL Projects by Algorithm

Explore implementations across neural network architectures and deep learning models

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Artificial Neural Networks

MNIST Digit Classification (ANN)

Dataset: MNIST Dataset

Basic feed-forward ANN classifier for handwritten digit recognition with dropout and batch normalization.

PythonNumPyPyTorch
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Artificial Neural Networks

Customer Churn Prediction (ANN)

Dataset: Telco Churn

ANN for predicting customer churn using structured datasets, feature engineering, and precision-recall evaluation.

PythonPandasTensorFlow
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Convolutional Neural Networks

CIFAR-10 Image Classification (CNN)

Dataset: CIFAR-10

Custom CNN architecture for image classification with data augmentation, LR scheduling, and feature visualization.

PythonPyTorchTorchVision
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Convolutional Neural Networks

Transfer Learning with ResNet/MobileNet

Dataset: ImageNet

Fine-tuning pretrained models including ResNet50, MobileNetV2, and EfficientNet for multi-class classification.

PythonTensorFlowKeras
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Object Detection

YOLOv8 Object Detection

Dataset: Custom Dataset

YOLOv8 detection pipeline with training, evaluation, dataset prep, and real-time inference integration.

PythonUltralyticsOpenCV
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Sequence Models

Stock Price Forecasting (LSTM)

Dataset: Time Series Data

Multi-layer LSTM for future price prediction using sliding window preprocessing and backtesting evaluation.

PythonPyTorchPandas
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Sequence-to-Sequence

Machine Translation (Seq2Seq LSTM)

Dataset: English–French

Encoder–decoder LSTM with Bahdanau attention, teacher forcing, and beam search decoding.

PythonPyTorchNLTK
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Transformers & Attention

Text Summarization with Transformers

Dataset: News Articles

Summarization using T5/BART transformers with fine-tuning, ROUGE evaluation, and custom training loop.

PythonTransformersHuggingFace
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