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Created 2021-06-25 · Updated 2026-10-12 · #8482 today
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Key parameters and specifications
Key parameters and specifications
ParameterValue
LanguageJupyter Notebook
CategoryTutorials
SubcategoryTool-specific tutorials
Stars2,610
Forks2,681
Contributors4
Created date2021-06-25
Updated date2026-10-12
Stars in 1 day0
Stars in 7 days1
Rank8,482
Previous rank8,542
Rank change60
7-day stars rank9,330
Previous 7-day stars rank9,383
7-day stars rank change53
Total stars rank5,099
Previous total stars rank5,091
Total stars rank change-8
CountryUSA
README summary

AI TensorFlow Developer Welcome to the public repo for this course. Below is the list of assignments and ungraded labs course-wise. At the time we are not accepting Pull Requests but if you have any suggestion or spot any typo please raise an issue. If you find a bug that is blocking in any way consider joining our community where our mentors and team will help you. You can also find more information on our community in this Reading

Item within Coursera. Hello World Neural Network _(C1_W1_Lab_1_hello_world_nn. ipynb)_ Week 2 Assignment Handwriting Recognition _(C1W2_Assignment. Beyond Hello World, A Computer Vision Example _(C1_W2_Lab_1_beyond_hello_world. ipynb)_ Week 3 Assignment Improve MNIST with Convolutions _(C1W3_Assignment. Improving Accuracy with Convolutions _(C1_W3_Lab_1_improving_accuracy_using_convolutions. Exploring Convolutions _(C1_W3_Lab_2_exploring_convolutions. ipynb)_ Week 4 Assignment Handling Complex Images _(C1W4_Assignment. Preprocessing Images to Train a

Neural Network _(C1_W4_Lab_1_image_data_preprocessing_no_validation. Image Data Preprocessing with a Validation Set _(C1_W4_Lab_2_image_data_preprocessing_with_validation. Compacted Images _(C1_W4_Lab_3_compacted_images. ipynb)_ C2 - Convolutional Neural Networks in TensorFlow Week 1 Assignment Cats vs. Using more sophisticated images with Convolutional Neural Networks _(C2_W1_Lab_1_cats_vs_dogs. Dogs using Augmentation _(C2W2_Assignment. Dogs with Augmentation _(C2_W2_Lab_1_cats_v_dogs_augmentation. Humans with

Augmentation _(C2_W2_Lab_2_horses_v_humans_augmentation. Humans using Transfer Learning _(C2W3_Assignment. Exploring Transfer Learning _(C2_W3_Lab_1_transfer_learning. ipynb)_ Week 4 Assignment Multi-class Classifier _(C2W4_Assignment. Classifying Rock, Paper, and Scissors _(C2_W4_Lab_1_multi_class_classifier. ipynb)_ C3 - Natural Language Processing in TensorFlow Week 1 Assignment Explore the BBC News Archive _(C3W1_Assignment. Building a Vocabulary _(C3_W1_Lab_1_building_a_vocabulary. Simple Sequences _(C3_W1_Lab_2_sequences_basic

. ipynb)_ Week 2 Assignment Categorizing the BBC News Archive _(C3W2_Assignment. Positive or Negative IMDB Reviews _(C3_W2_Lab_1_imdb. Sarcasm Classifier _(C3_W2_Lab_2_sarcasm_classifier. IMDB Review Subwords _(C3_W2_Lab_3_imdb_subwords. ipynb)_ Week 3 Assignment Exploring Overfitting in NLP _(C3W3_Assignment. IMDB Subwords with Single Layer LSTM _(C3_W3_Lab_1_single_layer_LSTM. IMDB Subwords with Multi Layer LSTM _(C3_W3_Lab_2_multiple_layer_LSTM. IMDB Subwords with 1D Convolutional Layer

_(C3_W3_Lab_3_Conv1D. IMDB Reviews with GRU (and optional LSTM and Conv1D) _(C3_W3_Lab_4_imdb_reviews_with_GRU_LSTM_Conv1D. Sarcasm with Bidirectional LSTM _(C3_W3_Lab_5_sarcasm_with_bi_LSTM. Sarcasm with 1D Convolutional Layer _(C3_W3_Lab_6_sarcasm_with_1D_convolutional. ipynb)_ Week 4 Assignment Writing Shakespeare with LSTMs _(C3W4_Assignment. Generating Poetry from Irish Lyrics _(C3_W4_Lab_2_irish_lyrics. ipynb)_ C4 - Sequences, Time Series and Prediction Week 1 Assignment

Create and Predict Synthetic Data _(C4W1_Assignment. ipynb)_ Week 2 Assignment Predict with a DNN _(C4W2_Assignment. Preparing Features and

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https-deeplearning-ai/tensorflow-1-public has 2,610 stars and 2,681 forks.

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https-deeplearning-ai/tensorflow-1-public is ranked 8,482.

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https-deeplearning-ai/tensorflow-1-public has 2,610 stars, uses Jupyter Notebook and belongs to Tutorials.

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https-deeplearning-ai/tensorflow-1-public is compared with romeokienzler/TensorFlow, ranked 8,483 with 2,606 stars.

README

DeepLearning.AI TensorFlow Developer

Welcome to the public repo for this course.

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

Want to contribute?

At the time we are not accepting Pull Requests but if you have any suggestion or spot any typo please raise an issue.

If you find a bug that is blocking in any way consider joining our community where our mentors and team will help you. You can also find more information on our community in this Reading Item within Coursera.


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

Week 1

Assignment

  • Housing Prices (C1W1_Assignment.ipynb)

Ungraded Labs

  1. Hello World Neural Network (C1_W1_Lab_1_hello_world_nn.ipynb)

Week 2

Assignment

  • Handwriting Recognition (C1W2_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 (C1W3_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 (C1W4_Assignment.ipynb)

Ungraded Labs

  1. Preprocessing Images to Train a Neural Network (C1_W4_Lab_1_image_data_preprocessing_no_validation.ipynb)
  2. Image Data Preprocessing with a Validation Set (C1_W4_Lab_2_image_data_preprocessing_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 (C2W1_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 (C2W2_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 (C2W3_Assignment.ipynb)

Ungraded Labs

  1. Exploring Transfer Learning (C2_W3_Lab_1_transfer_learning.ipynb)

Week 4

Assignment

  • Multi-class Classifier (C2W4_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

  • Explore the BBC News Archive (C3W1_Assignment.ipynb)

Ungraded Labs

  1. Building a Vocabulary (C3_W1_Lab_1_building_a_vocabulary.ipynb)
  2. Simple Sequences (C3_W1_Lab_2_sequences_basic.ipynb)
  3. Sarcasm (C3_W1_Lab_3_sarcasm.ipynb)

Week 2

Assignment

  • Categorizing the BBC News Archive (C3W2_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

  • Exploring Overfitting in NLP (C3W3_Assignment.ipynb)

Ungraded Labs

  1. IMDB Subwords with Single Layer LSTM (C3_W3_Lab_1_single_layer_LSTM.ipynb)
  2. IMDB Subwords with Multi Layer LSTM (C3_W3_Lab_2_multiple_layer_LSTM.ipynb)
  3. IMDB Subwords 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

  • Writing Shakespeare with LSTMs (C3W4_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

  • Create and Predict Synthetic Data (C4W1_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

  • Predict with a DNN (C4W2_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

  • Using RNN's and LSTM's for time series (C4W3_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

  • Daily Minimum Temperatures in Melbourne - Real Life Data (C4W4_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)
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