TensorFlow.
Deep learning with TensorFlow and Keras — layers, training loops, custom models, and TFX deployment pipelines.
Beginner
Start here — no prior experience needed
TensorFlow Learning Roadmap
A structured path through TensorFlow and Keras — from your first model to production deployment on mobile, server, and cloud.
TensorFlow Projects
Projects covering TensorFlow and Keras from basic neural networks to production serving — building real models that solve real problems.
Introduction to TensorFlow and Keras
Build, train, and evaluate neural networks with TensorFlow 2.x and the Keras high-level API.
Intermediate
For developers with core concepts down
TensorFlow CNNs and Transfer Learning
Build convolutional networks in Keras — from scratch on image data — and fine-tune pre-trained ImageNet models for custom tasks.
TensorFlow RNNs and LSTMs
Build sequence models in Keras — text generation, sentiment analysis, and time-series forecasting with LSTM and GRU layers.
Advanced
Production-grade patterns for experienced engineers
TensorFlow Model Deployment
Save, load, and serve TensorFlow models in production — TF Serving, TFLite for mobile, and REST API deployment.
TensorFlow Transformers and BERT
Fine-tune BERT and other transformer models in TensorFlow/Keras using HuggingFace Transformers with the TF backend.