├── .DS_Store ├── .gitignore ├── 1.Introduction ├── Codlab-exercise │ ├── .DS_Store │ ├── Course_1_Part_6_Lesson_2_Improving_Computer_Vision_Accuracy.ipynb │ ├── Course_1_Part_6_Lesson_3_different_weightingNotebook.ipynb │ ├── Course_1_Part_8_Lesson_2_imageGenerator.ipynb │ ├── Course_1_Part_8_Lesson_3_imageGenerator_validating.ipynb │ └── Fahion-Minist.ipynb ├── Excercise-3-Question-mproving Computer Vision Accuracy using Convolutions .ipynb ├── Exercise4-Question-ImageDataGenerator.ipynb ├── Exercise_1_House_Prices_Question.ipynb └── Exercise_2-Question-Fashion MNIST.ipynb ├── 2.Convolutional Neural Networks in Tensorflow ├── .DS_Store ├── Exercise_1_Cats_vs_Dogs_Question-FINAL.ipynb ├── Exercise_2_Cats_vs_Dogs_using_augmentation_Question-FINAL.ipynb ├── Exercise_3_Horses_vs_humans_using_Transfer_Learning_Question-FINAL.ipynb ├── Exercise_4_Multi_class_classifier_Question-FINAL.ipynb └── codlab │ ├── Course_2_Part_2_Lesson_2_cat_vs_dog.ipynb │ ├── Course_2_Part_4_Lesson_2_Notebook_(Cats_v_Dogs_Augmentation).ipynb │ ├── Course_2_Part_6_Lesson_3_Notebook.ipynb │ └── Course_2_Part_8_Lesson_2_Notebook_(RockPaperScissors).ipynb ├── 3.Natural Language Processing in TensorFlow ├── .DS_Store ├── week1 │ ├── Course_3_Week_1_Exercise_question_BBC News.ipynb │ └── bbc-text.csv ├── week2 │ ├── Course_3_Week_2_Exercise.ipynb │ ├── Course_3_Week_2_Lesson_1.ipynb │ ├── Course_3_Week_2_Lesson_2.ipynb │ ├── Course_3_Week_2_Lesson_3.ipynb │ ├── meta.tsv │ └── vecs.tsv ├── week3 │ ├── Course_3_Week_3_Lesson_1a.ipynb │ ├── Course_3_Week_3_Lesson_1b.ipynb │ ├── Course_3_Week_3_Lesson_1c.ipynb │ ├── Course_3_Week_3_Lesson_2.ipynb │ ├── Course_3_Week_3_Lesson_2c.ipynb │ ├── Course_3_Week_3_Lesson_2d.ipynb │ ├── NLP_Course_Week_3_Exercise.ipynb │ └── NLP_Course_Week_3_Exercise_Question.ipynb └── week4 │ ├── Course_3_Week_4_Lesson_1_Notebook.ipynb │ ├── Course_3_Week_4_Lesson_2_Notebook.ipynb │ └── NLP_Week4_Exercise_Shakespeare_Answer.ipynb ├── 4.Sequence, Time Series and Prediction ├── .DS_Store ├── week1 │ ├── S+P_Week_1_Lesson_2.ipynb │ ├── S+P_Week_1_Lesson_3_Notebook.ipynb │ ├── Week_1_Exercise_Answer.ipynb │ └── Week_1_Exercise_Question.ipynb ├── week2 │ ├── S+P_Week_2_Exercise_Answer.ipynb │ ├── S+P_Week_2_Exercise_Question (1).ipynb │ ├── S+P_Week_2_Exercise_Question.ipynb │ ├── S+P_Week_2_Lesson_1.ipynb │ ├── S+P_Week_2_Lesson_2.ipynb │ └── S+P_Week_2_Lesson_3.ipynb ├── week3 │ ├── S+P_Week_3_Exercise_Answer.ipynb │ ├── S+P_Week_3_Exercise_Question.ipynb │ └── S+P_Week_3_Lesson_2_RNN.ipynb └── week4 │ ├── NLP_Week4_Exercise_Shakespeare_Question.ipynb │ ├── S+P_Week_4_Exercise_Answer.ipynb │ ├── S+P_Week_4_Exercise_Question.ipynb │ ├── S+P_Week_4_Lesson_1.ipynb │ ├── S+P_Week_4_Lesson_3.ipynb │ └── S+P_Week_4_Lesson_5.ipynb ├── Practise ├── CNN.py ├── CNN_imageGenerator.py ├── CNN_preTrain.py ├── Natural_language_processing.py ├── Natural_language_processing_1.py ├── Natural_language_processing_lstm.py ├── 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