A list with demos, notes, extra reading, my own progress all related with TensorFlow in Practice Specialization.
Repo structure:
- demos - where I'll place all the code, demos, models, notebooks etc;
- progress/checklist.md - where I'll check my progress;
- progress/timeline.md - where you can view my progress as a timeline;
- notes/readme.md - where I'll add my notes, questions etc;
- notes/keywords.md - a list of keywords;
- read - own reading list related with TensorFlow;
Updates: (more details)
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2020-08-22: Course 01 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. Get ready and init the struggle :)
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2020-08-23: Course 01 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. Finish Week 01 (pass quiz/code/reading/update repo)
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2020-08-24: Course 01 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. Finish Week 02 (pass quiz/code/reading/update repo)
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2020-08-25: Course 01 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. Saw some videos on CNN (code/reading/updare repo);
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2020-08-26: Course 01 - Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning. Finished Week 03 and Week 04 (pass quizzes/codes/reading/update repo). Learned about ConvNet;
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2020-08-27: Course 02 - Convolutional Neural Networks in TensorFlow. Init Convolutional Neural Networks in TensorFlow. Week 01 it's over (pass quiz/code/reading/update repo);
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2020-08-28: Course 02 - Convolutional Neural Networks in TensorFlow. Image Augmentation (my fav subject 'till the moment; such a creative way/tool for getting better results on CNN/NN using TF. Keras ImageDataGenerator class it's 🔥🔥🔥); End Week 02 (pass quiz/code/reading/update repo);
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2020-08-29: Course 02 - Convolutional Neural Networks in TensorFlow. Week 02 - Transfer learning & Using dropouts! (pass quiz/reading/update repo). To undestand better this, I'll need to code some demos; It's kinda the first thing that it bothers me a little
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2020-08-30: Course 02 - Convolutional Neural Networks in TensorFlow. End Week 03 and Week 04; Learn about Multi-class classifier (now I have an ideea how Teachable Machine it's working at code level). Also I think that the course it's only the "basics/step by step" of all this topics. If you wanna know more, you def need more practice/code/books/run in prod. (pass quiz/code/reading/update repo);
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2020-08-31: Course 03 - Natural Language Processing in TensorFlow. Init Natural Language Processing in TensorFlow. Week 01 it's over (pass quiz/code/reading/update repo);
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2020-09-01: Course 03 - Natural Language Processing in TensorFlow. Week 02 was about tokenized words and using Embeddings to establish meaning from them in a mathematical way! (pass quiz/code/reading/update repo)
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2020-09-02: Course 03 - Natural Language Processing in TensorFlow. Week 03, same basic intro to recurrent neural networks (RNN), Long short-term memory (LSTM), Gated Recurrent Units (GRU) lots of collabs but frankly I don't quite understand all this things yeat - so gotta read more about them (pass quiz/code/reading/update repo)
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2020-09-05: Course 03 - Natural Language Processing in TensorFlow. Week 04, build a poetry generator. I've decided to build "GhostwriterML 4 Rosalia" based on lyrics from "El mal querer" and "Los angeles" and lyrics from "Camarón" and "badbunnynobeldeliteratura" (^___^) 🤘 #stillworking (pass quiz/code/reading/update repo)
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2020-09-20: Course 04 - Sequences, Time Series and Prediction. Week 01. Learn some new things. I'll need to learn extra stuff for coding & statistics (pass quiz/code/reading/update repo);
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2020-09-22: Course 04 - Sequences, Time Series and Prediction. Week 02. Explore time series data, seen how to split it into training and validation sets for training with a DNN. (pass quiz/code/reading/update repo)
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2020-09-27: Course 04 - Sequences, Time Series and Prediction. Week 03. Recurrent Neural Networks for Time Series (pass quiz/code/reading/update repo)
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2020-09-28: Course 04 - Sequences, Time Series and Prediction. Week 04. Real-world time series data with DNNs, RNNs and also convolution. (pass quiz/code/reading/update repo)
Silviu Daniel Eftimie - has successfully completed the online, non-credit Professional Certificate DeepLearning.AI TensorFlow Developer
Personal note: I only scratched the surface of what's possible. 🤘