Let's become a Google Certified Tensorflow Developer together !
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├── 1.\ Introduction\ to\ TensorFlow\ for\ Artificial\ Intelligence,\ Machine\ Learning,\ and\ Deep\ Learning
│ ├── A\ Computer\ Vision\ Example.ipynb
│ ├── Convolution.py
│ ├── Excercise-3-Convolution.ipynb
│ ├── Exercise\ 1\ (Housing\ Prices).md
│ ├── Exercise2-callback\ handwriting.ipynb
│ ├── Exercise4-Question.ipynb
│ ├── Exercise_1_House_Prices_Question.ipynb
│ ├── README.md
│ ├── Walk\ through\ Call\ back.ipynb
│ ├── Week1\ Quiz.md
│ ├── Week2\ Quiz.md
│ ├── Week3\ Quiz.md
│ ├── code¬e.py
│ ├── hourse_human_withValidation.ipynb
│ ├── resources
│ └── week4\ Quiz.md
├── 2.\ Convolutional\ Neural\ Networks\ in\ Tensorflow
│ ├── README.md
│ ├── course_2_part_2_lesson_2_notebook.py
│ ├── resources
│ └── tmp
├── 3.\ Natural\ Language\ Processing\ in\ TensorFlow
│ ├── 1.\ Tokenizer.py
│ ├── 2.BBC\ news\ archive.py
│ ├── 3.\ IMDB\ Subwords\ 8K\ with\ Multi\ Layer\ LSTM.py
│ ├── 4.\ week_4_lesson_1_notebook(\ predict\ next\ words).py
│ ├── 5.\ week_4_lesson_2_(write\ a\ poem).py
│ ├── 6.\ nlp_week4_shakespeare.py
│ ├── README.md
│ └── tmp
├── 4.\ Sequences,\ Time\ Series\ and\ Prediction
│ ├── 1.\ Naive\ Forecast.py
│ ├── 10.LSTM-(batch).py
│ ├── 11.SunSpot_conv_lstm.py
│ ├── 12.temperatures_conv_lstm_lambda.py
│ ├── 2.\ Create\ and\ predict\ synthetic\ data.py
│ ├── 3.Preparing\ features\ and\ labels.py
│ ├── 4.Single\ layer\ neural\ network\ notebook.py
│ ├── 5.Deep\ neural\ network\ notebook.ipynb
│ ├── 5.DeepNeuralNetwork.py
│ ├── 6.Predict\ with\ DNN.py
│ ├── 7.RNN.py
│ ├── 8.\ LSTM.ipynb
│ ├── 8.\ LSTM.py
│ ├── 9.\ MAE.ipynb
│ ├── 9.\ MAE.py
│ ├── DNN-playground.ipynb
│ ├── README.md
│ ├── a\ few\ scenarios\ for\ time\ series.ipynb
│ ├── code¬e.py
│ ├── math\ forecasting.ipynb
│ ├── real-world\ time\ series\ prediction-DNN.ipynb
│ ├── real-world\ time\ series\ prediction.ipynb
│ ├── tmp
│ └── tst.csv
├── LICENSE
├── README.md
├── Setting_Up_TF_Developer_Certificate_Exam.pdf
├── TF_Certificate_Candidate_Handbook.pdf
├── test.py
└── tree.txt
9 directories, 53 files