gitextract_p4qcdysp/

├── 1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning/
│   ├── 1. A New Programming Paradigm/
│   │   ├── assignment/
│   │   │   └── C1W1_Assignment.ipynb
│   │   └── ungraded_lab/
│   │       └── C1_W1_Lab_1_hello_world_nn.ipynb
│   ├── 2. Introduction to Computer Vision/
│   │   ├── assignment/
│   │   │   └── C1W2_Assignment.ipynb
│   │   └── ungraded_labs/
│   │       ├── C1_W2_Lab_1_beyond_hello_world.ipynb
│   │       └── C1_W2_Lab_2_callbacks.ipynb
│   ├── 3. Enhancing Vision with Convolutional Neural Networks/
│   │   ├── assignment/
│   │   │   └── C1W3_Assignment.ipynb
│   │   └── ungraded_labs/
│   │       ├── C1_W3_Lab_1_improving_accuracy_using_convolutions.ipynb
│   │       └── C1_W3_Lab_2_exploring_convolutions.ipynb
│   └── 4. Using Real-world Images/
│       ├── assignment/
│       │   └── C1W4_Assignment.ipynb
│       └── ungraded_labs/
│           ├── C1_W4_Lab_1_image_generator_no_validation.ipynb
│           ├── C1_W4_Lab_2_image_generator_with_validation.ipynb
│           └── C1_W4_Lab_3_compacted_images.ipynb
├── 2. Convolutional Neural Networks in TensorFlow/
│   ├── 1. Exploring a Larger Dataset/
│   │   ├── assignment/
│   │   │   ├── C2W1_Assignment.ipynb
│   │   │   └── history.pkl
│   │   └── ungraded_lab/
│   │       └── C2_W1_Lab_1_cats_vs_dogs.ipynb
│   ├── 2. Augmentation - A Technique to Avoid Overfitting/
│   │   ├── assignment/
│   │   │   ├── C2W2_Assignment.ipynb
│   │   │   └── history_augmented.pkl
│   │   └── ungraded_labs/
│   │       ├── C2_W2_Lab_1_cats_v_dogs_augmentation.ipynb
│   │       └── C2_W2_Lab_2_horses_v_humans_augmentation.ipynb
│   ├── 3. Transfer Learning/
│   │   ├── assignment/
│   │   │   └── C2W3_Assignment.ipynb
│   │   └── ungraded_lab/
│   │       └── C2_W3_Lab_1_transfer_learning.ipynb
│   └── 4. Multiclass Classification/
│       ├── assignment/
│       │   └── C2W4_Assignment.ipynb
│       └── ungraded_lab/
│           └── C2_W4_Lab_1_multi_class_classifier.ipynb
├── 3. Natural Language Processing in TensorFlow/
│   ├── 1. Sentiment in Text/
│   │   ├── assignment/
│   │   │   └── C3W1_Assignment.ipynb
│   │   └── ungraded_labs/
│   │       ├── C3_W1_Lab_1_tokenize_basic.ipynb
│   │       ├── C3_W1_Lab_2_sequences_basic.ipynb
│   │       └── C3_W1_Lab_3_sarcasm.ipynb
│   ├── 2. Word Embeddings/
│   │   ├── assignment/
│   │   │   ├── C3W2_Assignment.ipynb
│   │   │   ├── meta.tsv
│   │   │   └── vecs.tsv
│   │   └── ungraded_labs/
│   │       ├── C3_W2_Lab_1_imdb.ipynb
│   │       ├── C3_W2_Lab_2_sarcasm_classifier.ipynb
│   │       └── C3_W2_Lab_3_imdb_subwords.ipynb
│   ├── 3. Sequence Models/
│   │   ├── assignment/
│   │   │   └── C3W3_Assignment.ipynb
│   │   └── ungraded_labs/
│   │       ├── C3_W3_Lab_1_single_layer_LSTM.ipynb
│   │       ├── C3_W3_Lab_2_multiple_layer_LSTM.ipynb
│   │       ├── C3_W3_Lab_3_Conv1D.ipynb
│   │       ├── C3_W3_Lab_4_imdb_reviews_with_GRU_LSTM_Conv1D.ipynb
│   │       ├── C3_W3_Lab_5_sarcasm_with_bi_LSTM.ipynb
│   │       └── C3_W3_Lab_6_sarcasm_with_1D_convolutional.ipynb
│   └── 4. Sequence Models and Literature/
│       ├── assignment/
│       │   ├── C3W4_Assignment.ipynb
│       │   └── history.pkl
│       ├── misc/
│       │   └── Laurences_generated_poetry.txt
│       └── ungraded_labs/
│           ├── C3_W4_Lab_1.ipynb
│           └── C3_W4_Lab_2_irish_lyrics.ipynb
├── 4. Sequences, Time Serirs and Prediction/
│   ├── 1. Sequences and Prediction/
│   │   ├── assignment/
│   │   │   ├── C4_W1_Assignment.ipynb
│   │   │   └── C4_W1_Assignment_Solution.ipynb
│   │   └── ungraded_labs/
│   │       ├── C4_W1_Lab_1_time_series.ipynb
│   │       └── C4_W1_Lab_2_forecasting.ipynb
│   ├── 2. Deep Neural Networks for Time Series/
│   │   ├── assignment/
│   │   │   ├── C4_W2_Assignment.ipynb
│   │   │   └── C4_W2_Assignment_Solution.ipynb
│   │   └── ungraded_labs/
│   │       ├── C4_W2_Lab_1_features_and_labels.ipynb
│   │       ├── C4_W2_Lab_2_single_layer_NN.ipynb
│   │       └── C4_W2_Lab_3_deep_NN.ipynb
│   ├── 3. Recurrent Neural Networks for Time Series/
│   │   ├── assignment/
│   │   │   ├── C4_W3_Assignment.ipynb
│   │   │   └── C4_W3_Assignment_Solution.ipynb
│   │   └── ungraded_labs/
│   │       ├── C4_W3_Lab_1_RNN.ipynb
│   │       └── C4_W3_Lab_2_LSTM.ipynb
│   └── 4. Real-world Time Series Data/
│       ├── assignment/
│       │   ├── C4_W4_Assignment.ipynb
│       │   └── C4_W4_Assignment_Solution.ipynb
│       └── ungraded_labs/
│           ├── C4_W4_Lab_1_LSTM.ipynb
│           ├── C4_W4_Lab_2_Sunspots.ipynb
│           └── C4_W4_Lab_3_DNN_only.ipynb
├── Coursera_Code_of_Conduct.md
├── Coursera_Honor_Code.md
├── LICENSE
└── README.md