eat_tensorflow2_in_30_days_ipynb

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eat_tensorflow2_in_30_days_ipynb is Jupyter Notebook running version of 《Eat That TensorFlow2.0 in 30 Days》.

Thanks to lyhue1991 for the tutorial.

1、chapter catalogue ⏰

Click on the corresponding blue heading to access the chapter。

Date	Contents	Difficulties	Est. Time	Status
	Chapter 1: Modeling Procedure of TensorFlow	⭐️	0hour	✅
Day 1	1-1 Example: Modeling Procedure for Structured Data	⭐️⭐️⭐️	1hour	✅
Day 2	1-2 Example: Modeling Procedure for Images	⭐️⭐️⭐️⭐️	2hour	✅
Day 3	1-3 Example: Modeling Procedure for Texts	⭐️⭐️⭐️⭐️⭐️	2hour	✅
Day 4	1-4 Example: Modeling Procedure for Temporal Sequences	⭐️⭐️⭐️⭐️⭐️	2hour	✅
	Chapter 2: Key Concepts of TensorFlow	⭐️	0hour	✅
Day 5	2-1 Data Structure of Tensor	⭐️⭐️⭐️⭐️	1hour	✅
Day 6	2-2 Three Types of Graph	⭐️⭐️⭐️⭐️⭐️	2hour	✅
Day 7	2-3 Automatic Differentiate	⭐️⭐️⭐️	1hour	✅
	Chapter 3: Hierarchy of TensorFlow	⭐️	0hour	✅
Day 8	3-1 Low-level API: Demonstration	⭐️⭐️	0.5hour	✅
Day 9	3-2 Mid-level API: Demonstration	⭐️⭐️⭐️	0.5hour	✅
Day 10	3-3 High-level API: Demonstration	⭐️⭐️⭐️	0.5hour	✅
	Chapter 4: Low-level API in TensorFlow	⭐️	0hour	✅
Day 11	4-1 Structural Operations of the Tensor	⭐️⭐️⭐️⭐️⭐️	2hour	✅
Day 12	4-2 Mathematical Operations of the Tensor	⭐️⭐️⭐️⭐️	1hour	✅
Day 13	4-3 Rules of Using the AutoGraph	⭐️⭐️⭐️	0.5hour	✅
Day 14	4-4 Mechanisms of the AutoGraph	⭐️⭐️⭐️⭐️⭐️	2hour	✅
Day 15	4-5 AutoGraph and tf.Module	⭐️⭐️⭐️⭐️	1hour	✅
	Chapter 5: Mid-level API in TensorFlow	⭐️	0hour	✅
Day 16	5-1 Dataset	⭐️⭐️⭐️⭐️⭐️	2hour	✅
Day 17	5-2 feature_column	⭐️⭐️⭐️⭐️	1hour ✅
Day 18	5-3 activation	⭐️⭐️⭐️	0.5hour	✅
Day 19	5-4 layers	⭐️⭐️⭐️	1hour	✅
Day 20	5-5 losses	⭐️⭐️⭐️	1hour	✅
Day 21	5-6 metrics	⭐️⭐️⭐️	1hour	✅
Day 22	5-7 optimizers	⭐️⭐️⭐️	0.5hour	✅
Day 23	5-8 callbacks	⭐️⭐️⭐️⭐️	1hour	✅
	Chapter 6: High-level API in TensorFlow	⭐️	0hour	✅
Day 24	6-1 Three Ways of Modeling	⭐️⭐️⭐️	1hour	✅
Day 25	6-2 Three Ways of Training	⭐️⭐️⭐️⭐️	1hour	✅
Day 26	6-3 Model Training Using Single GPU	⭐️⭐️	0.5hour	✅
Day 27	6-4 Model Training Using Multiple GPUs	⭐️⭐️	0.5hour	✅
Day 28	6-5 Model Training Using TPU	⭐️⭐️	0.5hour	✅
Day 29	6-6 Model Deploying Using tensorflow-serving	⭐️⭐️⭐️⭐️	1hour	✅
Day 30	6-7 Call Tensorflow Model Using spark-scala	⭐️⭐️⭐️⭐️⭐️	2hour	✅

2、operating environment

All the source codes are tested in jupyter. It is suggested to clone the repository to local machine and run them in jupyter for an interactive learning experience.

#Note: all the codes are tested under TensorFlow 2.1
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple  -U tensorflow

import tensorflow as tf

tf.print("tensorflow version:",tf.__version__)

tensorflow version: 2.1.0