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)

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

• Fashion MNIST (C1_W2_Assignment.js)

1. MNIST (C1_W2_Lab_1_mnist.html)

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

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)

• Rock Paper Scissors (C1_W4_Assignment.js)

1. Rock Paper Scissors (C1_W4_Lab_1_retrain.html)

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

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)

• 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