├── first-neural-network ├── Bike-Sharing-Dataset │ ├── Readme.txt │ ├── day.csv │ └── hour.csv └── DLND Your first neural network.ipynb ├── image-classification ├── .floydignore ├── README.md ├── dlnd_image_classification.ipynb ├── floyd_requirements.txt ├── helper.py └── problem_unittests.py ├── intro-to-rnns ├── Anna KaRNNa.ipynb ├── anna.txt └── assets │ └── charseq.jpeg ├── intro-to-tensorflow ├── environment.yml ├── environment_win.yml ├── image │ ├── Learn Rate Tune - Image.png │ ├── Mean Variance - Image.png │ ├── network_diagram.png │ └── notmnist.png ├── intro_to_tensorflow.ipynb └── intro_to_tensorflow_solution.ipynb ├── intro-to-tflearn ├── Handwritten Digit Recognition with TFLearn - Solution.ipynb ├── Handwritten Digit Recognition with TFLearn.ipynb ├── Sentiment Analysis with TFLearn - Solution.ipynb ├── Sentiment Analysis with TFLearn.ipynb ├── labels.txt └── reviews.txt └── sentiment_network ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Intro).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Lesson 1).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Lesson 2).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Lesson 3).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Lesson 4).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Lesson 5).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Lesson 6).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Lesson 7).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Project 1).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Project 2).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Project 3).ipynb ├── Sentiment Classification - How to Best Frame a Problem for a Neural Network (Project 4).ipynb ├── Sentiment Classification - 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