https://github.com/amoshnin/ml-tensorflow.developer.certificate

https://github.com/amoshnin/ml-tensorflow.developer.certificate

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• Host: GitHub
• URL: https://github.com/amoshnin/ml-tensorflow.developer.certificate
• Owner: amoshnin
• Created: 2022-03-15T14:31:51.000Z (over 2 years ago)
• Default Branch: master
• Last Pushed: 2022-03-21T17:16:56.000Z (over 2 years ago)
• Last Synced: 2024-05-21T05:56:37.868Z (6 months ago)
• Language: Jupyter Notebook
• Size: 6.16 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
**Specialization Name**: DeepLearning.AI TensorFlow Developer

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

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

## Week 1

### Assignment

- Housing Prices _(C1_W1_Assignment.ipynb)_

### Ungraded Labs

1. Hello World Neural Network _(C1_W1_Lab_1_hello_world_nn.ipynb)_

## Week 2

### Assignment

- Handwriting Recognition _(C1_W2_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 _(C1_W3_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 _(C1_W4_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 _(C2_W1_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 _(C2_W2_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 _(C2_W3_Assignment.ipynb)_

### Ungraded Labs

1. Exploring Transfer Learning _(C2_W3_Lab_1_transfer_learning.ipynb)_

## Week 4

### Assignment

- Multi-class Classifier _(C2_W4_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 (Optional)

- Explore the BBC News Archive _(C3_W1_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 (Optional)

- Categorizing the BBC News Archive _(C3_W2_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 (Optional)

- Exploring Overfitting in NLP _(C3_W3_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 (Optional)

- Writing Shakespeare with LSTMs _(C3_W4_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 (Optional)

- Create and Predict Synthetic Data _(C4_W1_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 (Optional) 

- Predict with a DNN _(C4_W2_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 (Optional)

- Mean Absolute Error _(C4_W3_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 (Optional)

- Sunspots _(C4_W4_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)_