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dlai_TF2

Specialization Name: TensorFlow: Data and Deployment Specialization

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

C1 - Browser-based Models with TensorFlow.js

Week 1

Assignment

  • Breast Cancer Classification (C1_W1_Assignment.html)

Ungraded Labs

  1. FirstHTML (C1_W1_Lab_1_FirstHTML.html)
  2. Iris Classifier (C1_W1_Lab_2_iris_classifier.html)

Week 2

Assignment

  • Fashion MNIST (C1_W2_Assignment.js)

Ungraded Lab

  1. MNIST (C1_W2_Lab_1_mnist.html)

Week 3

Assignment

  • Converting a Python Model to JavaScript (C1_W3_Assignment.ipynb)

Ungraded Lab

  1. Toxicity Classifier (C1_W3_Lab_1_toxicity.html)
  2. Image Classification Using MobileNet (C1_W3_Lab_2_mobilenet.html)
  3. Linear Model (C1_W3_Lab_3A_linear_to_JavaScript.ipynb and C1_W3_Lab_3B_linear.html)

Week 4

Assignment

  • Rock Paper Scissors (C1_W4_Assignment.js)

Ungraded Lab

  1. Rock Paper Scissors (C1_W4_Lab_1_retrain.html)

C2 - Device-based Models with TensorFlow Lite

Week 1

Assignment

  • Train Your Own Model and Convert It to TFLite (C2_W1_Assignment.ipynb)

Ungraded Labs

  1. Running TFLite Models (C2_W1_Lab_1_Linear_Regression.ipynb)
  2. Transfer Learning with TensorFlow Hub for TFLite (C2_W1_Lab_2_Transfer_Learning.ipynb)

Week 2 (Android)

Assignment (Optional)

  • Rock, Paper & Scissors with TensorFlow Hub - TFLite (C2_W2_Assignment.ipynb and C2_W2_Assignment_Solution.ipynb)

Ungraded Labs

  • Cats vs Dogs
  • Image Classification
  • Object Detection

Week 3 (iOS)

Assignment (Optional)

  • Rock, Paper & Scissors with TensorFlow Hub - TFLite (C2_W3_Assignment.ipynb and C2_W3_Assignment_Solution.ipynb)

Ungraded Labs

  • Cats vs Dogs
  • Image Classification
  • Object Detection

Week 4 (Raspberry Pi)

Assignment (Optional)

  • Rock, Paper & Scissors with TensorFlow Hub - TFLite (C2_W4_Assignment.py and C2_W2_Assignment_Solution.py)

Ungraded Labs

  • Cats vs Dogs
  • Image Classification
  • Object Detection

C3 - Data Pipelines with TensorFlow Data Services

Week 1

Assignment

  • TFDS with Rock, Paper and Scissors (C3_W1_Assignment.ipynb)

Ungraded Labs

  1. TFDS Hellow World (C3_W1_Lab_1_tfds_hello_world.ipynb)
  2. Horses or Humans (C3_W1_Lab_2_horses_or_humans.ipynb)

Week 2

Assignment

  • Transfer Learning and Splits API (C3_W2_Assignment.ipynb)

Ungraded Labs

  1. Exploring the Splits API (C3_W2_Lab_1_splits_api.ipynb)
  2. TFRecords (C3_W2_Lab_2_tfrecords.ipynb)

Week 3

Assignment

  • Classify Structured Data (C3_W3_Assignment.ipynb)

Ungraded Lab

  1. Classify structured data with feature columns (C3_W3_Lab_1_feature_columns.ipynb)
  2. tf.data: Build TensorFlow input pipelines (C3_W3_Lab_2_data.ipynb)
  3. Load CSV data (C3_W3_Lab_3_csv.ipynb)

Week 4

Assignments

  1. Parallelization with TFDS (C3_W4_A1_Assignment.ipynb)
  2. Adding a Dataset of your Own to TFDS (C3_W4_A2_Assignment_Optional.ipynb and C3_W4_A2_Assignment_Optional_Solution.ipynb)

C4 - Advanced Deployment Scenarios with TensorFlow

Week 1

Assignment

  • Train Your Own Model and Serve It With TensorFlow Serving (C4_W1_Assignment.ipynb and C4_W1_Assignment_Solution.ipynb )

Ungraded Labs

  1. Getting Started with TensorFlow Serving (C4_W1_Lab_1_tfserving_hello_world.ipynb)
  2. Train and serve a TensorFlow model with TensorFlow Serving (C4_W1_Lab_2_Train_and_serve_a_TensorFlow_model_with_TensorFlow_Serving.ipynb)

Week 2

Assignment

  • Exporting an MNIST Classifier in SavedModel Format (C4_W2_Assignment.ipynb)

Ungraded Labs

  1. Getting Started with TensorFlow Hub (C4_W2_Lab_1_tfhub_basic_examples.ipynb)
  2. Text Classification (C4_W2_Lab_2_text_classification.ipynb)
  3. Transfer Learning with TensorFlow Hub (C4_W2_Lab_3_transfer_learning.ipynb)

Week 3

Assignment

  • TensorBoard with Fashion MNIST (C4_W3_Assignment.ipynb)

Ungraded Labs

  • Displaying image data in TensorBoard (C4_W3_Lab_1_image_summaries.ipynb)

Week 4

Ungraded Labs

  • Custom Federated Algorithms, Part 1: Introduction to the Federated Core (C4_W4_Lab_1_custom_federated_algorithms.ipynb)