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TensorFlow Tutorial 1 - Installation and Setup Deep Learning Environment (Anaconda and PyCharm)
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TensorFlow 2.0 Beginner Tutorials
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- 1 TensorFlow Tutorial 1 - Installation and Setup Deep Learning Environment (Anaconda and PyCharm)
- 2 TensorFlow Tutorial 2 - Tensor Basics
- 3 TensorFlow Tutorial 3 - Neural Networks with Sequential and Functional API
- 4 TensorFlow Tutorial 4 - Convolutional Neural Networks with Sequential and Functional API
- 5 TensorFlow Tutorial 5 - Adding Regularization with L2 and Dropout
- 6 TensorFlow Tutorial 6 - RNNs, GRUs, LSTMs and Bidirectionality
- 7 TensorFlow Tutorial 7 - More in Depth Example on Functional API
- 8 TensorFlow Tutorial 8 - Model Subclassing with Keras
- 9 TensorFlow Tutorial 9 - Custom Layers
- 10 TensorFlow Tutorial 10 - Saving and Loading Models
- 11 TensorFlow Tutorial 11 - Transfer Learning, Fine Tuning and TensorFlow Hub
- 12 TensorFlow Tutorial 12 - TensorFlow Datasets
- 13 TensorFlow Tutorial 13 - Data Augmentation
- 14 TensorFlow Tutorial 14 - Callbacks with Keras and Writing Custom Callbacks
- 15 TensorFlow Tutorial 15 - Customizing Model.Fit
- 16 TensorFlow Tutorial 16 - Custom Training Loops
- 17 TensorFlow Tutorial 17 - Complete TensorBoard Guide
- 18 TensorFlow Tutorial 18 - Custom Dataset for Images
- 19 TensorFlow Tutorial 19 - Custom Dataset for Text with TextLineDataset
- 20 TensorFlow Tutorial 20 - Classifying Skin Cancer [BEGINNER PROJECT EXAMPLE]
