根據TFC提供的教材有下列幾個來做時間規劃

corsera

https://www.coursera.org/learn/introduction-tensorflow

1. A New Programming Paradigm (6hrs)
2. Introduction to Computer Vision (7hrs)
3. Enhancing Vision with Convolutional Neural Networks (8hrs)
4. Using Real-world Images (9hrs)

https://www.coursera.org/specializations/tensorflow-in-practice

1. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
2. Convolutional Neural Networks in TensorFlow
3. Natural Language Processing in TensorFlow
4. Sequences, Time Series and Prediction

udacity

https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187

1. Introduction (30mins)
2. NN and Machine Learning Conecpt (2hrs)
3. Build first NN model (2hrs)
4. Introduction to CNN (2hrs)
5. CNN Deep Learning (2hrs)
6. Transfer Learning (1hr)
7. Saving and Loading Models (1hr)
8. Time Series Forecasting (2hr)
9. TesnorFlow Lite (10mins)

google 練習範例

https://www.tensorflow.org/tutorials/keras/classification?hl=zh-tw
預計要花3-5hrs

免費書籍

https://www.manning.com/books/deep-learning-with-python#toc

http://neuralnetworksanddeeplearning.com/

進階課程

https://www.tensorflow.org/resources/learn-ml/theoretical-and-advanced-machine-learning?hl=zh-tw

光看完線上課程至少也要花個100hrs, 因為平日還有班要上, 換算一天平均念3hrs, 一個禮拜念五天, 也要念7個禮拜 ~ 2個月
看起來這個挑戰可以到Day60
得加緊腳步開始了

TensorFlow的人工智能, 機器學習與深度學習簡介(1.5hrs/6hrs)

傳統的programmer必須找出規則
Machine Learning反過來利用Answer來找Rule
對於那些不能通過規則來找到規則來解決的問題特別有價值

Week1的目標就是讓你至少可以建立一個model開始訓練並且預測
包含了一個Quiz跟一個Exercise
這裡就不暴雷, 給各位看官自己練習, 畢竟自己練習才會有感覺
可能因為本身有底子, 也都大致上知道原理, 原本預估要上6hrs的課, 只花了1.5hrs