| Advanced Computer Vision with TensorFlow/ | - | |
| Apply Generative Adversarial Networks (GANs)/ | - | |
| Build Basic Generative Adversarial Networks (GANs)/ | - | |
| Build Better Generative Adversarial Networks (GANs)/ | - | |
| CONTRIBUTE.md | 399 bytes | |
| Convolutional Neural Networks in TensorFlow/ | - | |
| Convolutional Neural Networks/ | - | |
| Custom Models, Layers, and Loss Functions with TensorFlow/ | - | |
| Custom and Distributed Training with Tensorflow/ | - | |
| Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization/ | - | |
| Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/ | - | |
| LICENSE | 1 KB | |
| Natural Language Processing in TensorFlow/ | - | |
| Natural Language Processing with Attention Models/ | - | |
| Natural Language Processing with Classification and Vector Spaces/ | - | |
| Natural Language Processing with Probabilistic Models/ | - | |
| Natural Language Processing with Sequence Models/ | - | |
| Neural Networks and Deep Learning/ | - | |
| README.md | 49.2 KB | |
| Sequence Models/ | - | |
| Sequences, Time Series and Prediction/ | - | |
| Structuring Machine Learning Projects/ | - | |
