/tensorflow-1-public

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DeepLearning.AI TensorFlow Developer

Welcome to the public repo for this course.

Below is the list of assignments and ungraded labs course-wise.

Want to contribute?

At the time we are not accepting Pull Requests but if you have any suggestion or spot any typo please raise an issue.

If you find a bug that is blocking in any way consider joining our community where our mentors and team will help you. You can also find more information on our community in this Reading Item within Coursera.

C1 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Week 1

Assignment

  • Housing Prices (C1W1_Assignment.ipynb)

Ungraded Labs

  1. Hello World Neural Network (C1_W1_Lab_1_hello_world_nn.ipynb)

Week 2

Assignment

  • Handwriting Recognition (C1W2_Assignment.ipynb)

Ungraded Labs

  1. Beyond Hello World, A Computer Vision Example (C1_W2_Lab_1_beyond_hello_world.ipynb)
  2. Callbacks (C1_W2_Lab_2_callbacks.ipynb)

Week 3

Assignment

  • Improve MNIST with Convolutions (C1W3_Assignment.ipynb)

Ungraded Labs

  1. Improving Accuracy with Convolutions (C1_W3_Lab_1_improving_accuracy_using_convolutions.ipynb)
  2. Exploring Convolutions (C1_W3_Lab_2_exploring_convolutions.ipynb)

Week 4

Assignment

  • Handling Complex Images (C1W4_Assignment.ipynb)

Ungraded Labs

  1. Image Generator (C1_W4_Lab_1_image_generator_no_validation.ipynb)
  2. Image Generator with Validation (C1_W4_Lab_2_image_generator_with_validation.ipynb)
  3. Compacted Images (C1_W4_Lab_3_compacted_images.ipynb)

C2 - Convolutional Neural Networks in TensorFlow

Week 1

Assignment

  • Cats vs. Dogs (C2W1_Assignment.ipynb)

Ungraded Labs

  1. Using more sophisticated images with Convolutional Neural Networks (C2_W1_Lab_1_cats_vs_dogs.ipynb)

Week 2

Assignment

  • Cats vs. Dogs using Augmentation (C2W2_Assignment.ipynb)

Ungraded Labs

  1. Cats vs. Dogs with Augmentation (C2_W2_Lab_1_cats_v_dogs_augmentation.ipynb)
  2. Horses vs. Humans with Augmentation (C2_W2_Lab_2_horses_v_humans_augmentation.ipynb)

Week 3

Assignment

  • Horses vs. Humans using Transfer Learning (C2W3_Assignment.ipynb)

Ungraded Labs

  1. Exploring Transfer Learning (C2_W3_Lab_1_transfer_learning.ipynb)

Week 4

Assignment

  • Multi-class Classifier (C2W4_Assignment.ipynb)

Ungraded Labs

  1. Classifying Rock, Paper, and Scissors (C2_W4_Lab_1_multi_class_classifier.ipynb)

C3 - Natural Language Processing in TensorFlow

Week 1

Assignment

  • Explore the BBC News Archive (C3W1_Assignment.ipynb)

Ungraded Labs

  1. Simple Tokenizing (C3_W1_Lab_1_tokenize_basic.ipynb)
  2. Simple Sequences (C3_W1_Lab_2_sequences_basic.ipynb)
  3. Sarcasm (C3_W1_Lab_3_sarcasm.ipynb)

Week 2

Assignment

  • Categorizing the BBC News Archive (C3W2_Assignment.ipynb)

Ungraded Labs

  1. Positive or Negative IMDB Reviews (C3_W2_Lab_1_imdb.ipynb)
  2. Sarcasm Classifier (C3_W2_Lab_2_sarcasm_classifier.ipynb)
  3. IMDB Review Subwords (C3_W2_Lab_3_imdb_subwords.ipynb)

Week 3

Assignment

  • Exploring Overfitting in NLP (C3W3_Assignment.ipynb)

Ungraded Labs

  1. IMDB Subwords 8K with Single Layer LSTM (C3_W3_Lab_1_single_layer_LSTM.ipynb)
  2. IMDB Subwords 8K with Multi Layer LSTM (C3_W3_Lab_2_multiple_layer_LSTM.ipynb)
  3. IMDB Subwords 8K with 1D Convolutional Layer (C3_W3_Lab_3_Conv1D.ipynb)
  4. IMDB Reviews with GRU (and optional LSTM and Conv1D) (C3_W3_Lab_4_imdb_reviews_with_GRU_LSTM_Conv1D.ipynb)
  5. Sarcasm with Bidirectional LSTM (C3_W3_Lab_5_sarcasm_with_bi_LSTM.ipynb)
  6. Sarcasm with 1D Convolutional Layer (C3_W3_Lab_6_sarcasm_with_1D_convolutional.ipynb)

Week 4

Assignment

  • Writing Shakespeare with LSTMs (C3W4_Assignment.ipynb)

Ungraded Labs

  1. NLP with Irish Music (C3_W4_Lab_1.ipynb)
  2. Generating Poetry from Irish Lyrics (C3_W4_Lab_2_irish_lyrics.ipynb)

C4 - Sequences, Time Series and Prediction

Week 1

Assignment

  • Create and Predict Synthetic Data (C4W1_Assignment.ipynb)

Ungraded Labs

  1. Time Series (C4_W1_Lab_1_time_series.ipynb)
  2. Forecasting (C4_W1_Lab_2_forecasting.ipynb)

Week 2

Assignment

  • Predict with a DNN (C4W2_Assignment.ipynb)

Ungraded Labs

  1. Preparing Features and Labels (C4_W2_Lab_1_features_and_labels.ipynb)
  2. Single Layer Neural Network (C4_W2_Lab_2_single_layer_NN.ipynb)
  3. Deep Neural Network (C4_W2_Lab_3_deep_NN.ipynb)

Week 3

Assignment

  • Using RNN's and LSTM's for time series (C4W3_Assignment.ipynb)

Ungraded Labs

  1. Recurrent Neural Network (RNN) (C4_W3_Lab_1_RNN.ipynb)
  2. Long Short-Term Memory (LSTM) (C4_W3_Lab_2_LSTM.ipynb)

Week 4

Assignment

  • Daily Minimum Temperatures in Melbourne - Real Life Data (C4W4_Assignment.ipynb)

Ungraded Labs

  1. Long Short-Term Memory (LSTM) (C4_W4_Lab_1_LSTM.ipynb)
  2. Sunspots (C4_W4_Lab_2_Sunspots.ipynb)
  3. Sunspots - DNN Only (C4_W4_Lab_3_DNN_only.ipynb)