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Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.

A tutorial showing how to set up TensorFlow's Object Detection API on the Raspberry Pi

TensorFlow Tutorial for Time Series Prediction

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Implementations of CNNs, RNNs, GANs, etc

Dynamic seq2seq in TensorFlow, step by step