# tensorflow-2-public

**Repository Path**: davidgao7/tensorflow-2-public

## Basic Information

- **Project Name**: tensorflow-2-public
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2022-02-11
- **Last Updated**: 2022-02-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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)_