Specialization Name: TensorFlow: Data and Deployment Specialization
Below is the list of assignments and ungraded labs course-wise.
- Breast Cancer Classification (C1_W1_Assignment.html)
- FirstHTML (C1_W1_Lab_1_FirstHTML.html)
- Iris Classifier (C1_W1_Lab_2_iris_classifier.html)
- Fashion MNIST (C1_W2_Assignment.js)
- MNIST (C1_W2_Lab_1_mnist.html)
- Converting a Python Model to JavaScript (C1_W3_Assignment.ipynb)
- Toxicity Classifier (C1_W3_Lab_1_toxicity.html)
- Image Classification Using MobileNet (C1_W3_Lab_2_mobilenet.html)
- Linear Model (C1_W3_Lab_3A_linear_to_JavaScript.ipynb and C1_W3_Lab_3B_linear.html)
- Rock Paper Scissors (C1_W4_Assignment.js)
- Rock Paper Scissors (C1_W4_Lab_1_retrain.html)
- Train Your Own Model and Convert It to TFLite (C2_W1_Assignment.ipynb)
- Running TFLite Models (C2_W1_Lab_1_Linear_Regression.ipynb)
- Transfer Learning with TensorFlow Hub for TFLite (C2_W1_Lab_2_Transfer_Learning.ipynb)
- Rock, Paper & Scissors with TensorFlow Hub - TFLite (C2_W2_Assignment.ipynb and C2_W2_Assignment_Solution.ipynb)
- Cats vs Dogs
- Image Classification
- Object Detection
- Rock, Paper & Scissors with TensorFlow Hub - TFLite (C2_W3_Assignment.ipynb and C2_W3_Assignment_Solution.ipynb)
- Cats vs Dogs
- Image Classification
- Object Detection
- Rock, Paper & Scissors with TensorFlow Hub - TFLite (C2_W4_Assignment.py and C2_W2_Assignment_Solution.py)
- Cats vs Dogs
- Image Classification
- Object Detection
- TFDS with Rock, Paper and Scissors (C3_W1_Assignment.ipynb)
- TFDS Hellow World (C3_W1_Lab_1_tfds_hello_world.ipynb)
- Horses or Humans (C3_W1_Lab_2_horses_or_humans.ipynb)
- Transfer Learning and Splits API (C3_W2_Assignment.ipynb)
- Exploring the Splits API (C3_W2_Lab_1_splits_api.ipynb)
- TFRecords (C3_W2_Lab_2_tfrecords.ipynb)
- Classify Structured Data (C3_W3_Assignment.ipynb)
- Classify structured data with feature columns (C3_W3_Lab_1_feature_columns.ipynb)
- tf.data: Build TensorFlow input pipelines (C3_W3_Lab_2_data.ipynb)
- Load CSV data (C3_W3_Lab_3_csv.ipynb)
- Parallelization with TFDS (C3_W4_A1_Assignment.ipynb)
- Adding a Dataset of your Own to TFDS (C3_W4_A2_Assignment_Optional.ipynb and C3_W4_A2_Assignment_Optional_Solution.ipynb)
- Train Your Own Model and Serve It With TensorFlow Serving (C4_W1_Assignment.ipynb and C4_W1_Assignment_Solution.ipynb )
- Getting Started with TensorFlow Serving (C4_W1_Lab_1_tfserving_hello_world.ipynb)
- Train and serve a TensorFlow model with TensorFlow Serving (C4_W1_Lab_2_Train_and_serve_a_TensorFlow_model_with_TensorFlow_Serving.ipynb)
- Exporting an MNIST Classifier in SavedModel Format (C4_W2_Assignment.ipynb)
- Getting Started with TensorFlow Hub (C4_W2_Lab_1_tfhub_basic_examples.ipynb)
- Text Classification (C4_W2_Lab_2_text_classification.ipynb)
- Transfer Learning with TensorFlow Hub (C4_W2_Lab_3_transfer_learning.ipynb)
- TensorBoard with Fashion MNIST (C4_W3_Assignment.ipynb)
- Displaying image data in TensorBoard (C4_W3_Lab_1_image_summaries.ipynb)
- Custom Federated Algorithms, Part 1: Introduction to the Federated Core (C4_W4_Lab_1_custom_federated_algorithms.ipynb)