Deep Learning

Time Series Anomaly Detection using LSTM Autoencoders with PyTorch in Python

Find abnormal heartbeats in patients ECG data using an LSTM Autoencoder with PyTorch

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Time Series Forecasting with LSTMs for Daily Coronavirus Cases using PyTorch in Python

Learn the basics of using LSTMs for Time Series forecasting with PyTorch in Python. Predict future Coronavirus daily cases using real-world data

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Machine Learning

Build Your First Neural Network with PyTorch

Learn how to create your own Neural Network using PyTorch

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Machine Learning

Face Detection on Custom Dataset with Detectron2 and PyTorch using Python

Fine-tune pre-trained object detection model on a custom face detection dataset

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Machine Learning

Getting Started with PyTorch

Quick and easy guide to the basics of PyTorch

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Machine Learning

Intent Recognition with BERT using Keras and TensorFlow 2

Learn how to fine-tune a pre-trained BERT model for text classification

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Machine Learning

Sentiment Analysis with TensorFlow 2 and Keras using Python

Learn how to detect sentiment in hotel reviews using embeddings. Build and train a Deep Neural Network for text classification.

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Machine Learning

Image Data Augmentation for TensorFlow 2, Keras and PyTorch with Albumentations in Python

Learn how to augment image data for Image Classification, Object Detection, and Image Segmentation

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Machine Learning

Object Detection on Custom Dataset with TensorFlow 2 and Keras using Python

Learn how to detect vehicle license plates in images using RetinaNet with Keras and TensorFlow 2 in Python

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Machine Learning

Time Series Anomaly Detection with LSTM Autoencoders using Keras in Python

Detect anomalies in S&P 500 closing prices using LSTM Autoencoder with Keras and TensorFlow 2 in Python

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