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创建于 2021-06-25 · 更新于 2026-10-12 · 今日第 8482 名
主要开发者

https-deeplearning-ai/tensorflow-1-public 排名第 8,482,有 2,610 个星标。

同类别比较

https-deeplearning-ai/tensorflow-1-public 排名第 8,482,此处有 8 个同类条目;romeokienzler/TensorFlow 排名第 8,483。

同类别比较
名称排名指标
gerdm/prml8,468
语言:
Jupyter Notebook
星标数:
2,637
分叉数:
544
简介:
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
znxlwm/pytorch-generative-model-collections8,472
语言:
Python
星标数:
2,628
分叉数:
535
简介:
Collection of generative models in Pytorch version.
opendilab/PPOxFamily8,476
语言:
Python
星标数:
2,621
分叉数:
217
简介:
PPO x Family DRL Tutorial Course(决策智能入门级公开课:8节课帮你盘清算法理论,理顺代码逻辑,玩转决策AI应用实践 )
GoogleCloudPlatform/asl-ml-immersion8,478
语言:
Jupyter Notebook
星标数:
2,615
分叉数:
1,527
简介:
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
romeokienzler/TensorFlow8,483
语言:
Jupyter Notebook
星标数:
2,606
分叉数:
8,457
简介:
Project containig related material for my TensorFlow articles
lukas/ml-class8,484
语言:
Jupyter Notebook
星标数:
2,605
分叉数:
1,173
简介:
Machine learning lessons and teaching projects designed for engineers
virginiakm1988/ML2022-Spring8,486
语言:
Jupyter Notebook
星标数:
2,603
分叉数:
534
简介:
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
sjchoi86/Tensorflow-1018,498
语言:
Jupyter Notebook
星标数:
2,590
分叉数:
725
简介:
TensorFlow Tutorials
关键参数与规格
关键参数与规格
参数值
语言Jupyter Notebook
类别Tutorials
子类别Tool-specific tutorials
星标数2,610
分叉数2,681
贡献者4
创建日期2021-06-25
更新日期2026-10-12
1 天星标数0
7 天星标数1
排名8,482
上次排名8,542
排名变化60
7 天星标排名9,330
上次 7 天星标排名9,383
7 天星标排名变化53
总星标排名5,099
上次总星标排名5,091
总星标排名变化-8
国家USA
README 摘录

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

常见问题

记录了多少星标和分叉?

https-deeplearning-ai/tensorflow-1-public 有 2,610 个星标和 2,681 个分叉。

仓库排名是多少?

https-deeplearning-ai/tensorflow-1-public 排名第 8,482。

记录的语言和类别是什么?

https-deeplearning-ai/tensorflow-1-public 有 2,610 个星标,语言为 Jupyter Notebook,类别为 Tutorials。

哪个仓库排名最接近?

https-deeplearning-ai/tensorflow-1-public 与 romeokienzler/TensorFlow 比较,后者排名第 8,483,有 2,606 个星标。

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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