Tensorflow

"I visualize a time when we will be to robots what dogs are to humans, and I’m rooting for the machines."
– Claude Shannon

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This TensorFlow bootcamp was aggregated by Amit Maraj & Connlaoi Smith.

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All materials used within this bootcamp are credited to their respective authors.

Basics

Outline:

1. Simple Linear Model

2. Convolutional Neural Network

3. PrettyTensor

3-B. Layers API

3-C. Keras API

4. Save and Restore

5. Ensemble Learning

6. CIFAR-10

7. Inception Model

8. Transfer Learning

9. Video Data

10. Fine Tuning

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NLP

Outline:

1. Natural Language Processing

2. Machine Translation

3. Image Captioning

4. Text Summarization

5. Time Series Prediction

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Vision

Outline:

1. Adversarial Noise

2. Adversarial Noise with MNIST

3. Visual Analysis

4. Visual Analysis with MNIST

5. DeepDream

6. Style Transfer