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[FCSNEW NET] ZeroToMastery - TensorFlow for Deep Learning Bootcamp Zero to Mastery

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Title: ZeroToMasteryGroup: NOGRP
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355D94A1F2AA08B53DF3889688DB13BB165DFC45
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23.43 GB
Total Files
100
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File List

FileSize
0. Websites you may like/[FCSNEW.NET].url119 B
1. Introduction/0. Websites you may like/[FCSNEW.NET].url119 B
1. Introduction/1. TensorFlow for Deep Learning Zero to Mastery.en.srt2.41 KB
1. Introduction/1. TensorFlow for Deep Learning Zero to Mastery.mp441.48 MB
1. Introduction/2. Course Outline.en.srt7.03 KB
1. Introduction/2. Course Outline.mp418.5 MB
1. Introduction/3. Exercise Meet Your Classmates and Instructor.html4.39 KB
1. Introduction/4. All Course Resources + Notebooks.html7.31 KB
1. Introduction/4.1. All Course Resources + Notebooks.jpg158.43 KB
1. Introduction/5. Python + Machine Learning Monthly.html6.53 KB
1. Introduction/6. ZTM Plugin + Understanding Your Video Player.html6.89 KB
1. Introduction/7. Set Your Learning Streak Goal.html7.79 KB
1. Introduction/[FCSNEW.NET].url119 B
10. NLP Fundamentals in TensorFlow/0. Websites you may like/[FCSNEW.NET].url119 B
10. NLP Fundamentals in TensorFlow/1. Welcome to natural language processing with TensorFlow!.html216.77 KB
10. NLP Fundamentals in TensorFlow/10. Mapping the TextVectorization layer to text data and turning it into numbers.en.srt17.68 KB
10. NLP Fundamentals in TensorFlow/10. Mapping the TextVectorization layer to text data and turning it into numbers.mp472.81 MB
10. NLP Fundamentals in TensorFlow/11. Creating an Embedding layer to turn tokenised text into embedding vectors.en.srt20.2 KB
10. NLP Fundamentals in TensorFlow/11. Creating an Embedding layer to turn tokenised text into embedding vectors.mp4103.29 MB
10. NLP Fundamentals in TensorFlow/12. Discussing the various modelling experiments we're going to run.en.srt15.34 KB
10. NLP Fundamentals in TensorFlow/12. Discussing the various modelling experiments we're going to run.mp463.27 MB
10. NLP Fundamentals in TensorFlow/13. Model 0 Building a baseline model to try and improve upon.en.srt14.19 KB
10. NLP Fundamentals in TensorFlow/13. Model 0 Building a baseline model to try and improve upon.mp464.24 MB
10. NLP Fundamentals in TensorFlow/14. Creating a function to track and evaluate our model's results.en.srt17.05 KB
10. NLP Fundamentals in TensorFlow/14. Creating a function to track and evaluate our model's results.mp4114.19 MB
10. NLP Fundamentals in TensorFlow/15. Model 1 Building, fitting and evaluating our first deep model on text data.en.srt32.9 KB
10. NLP Fundamentals in TensorFlow/15. Model 1 Building, fitting and evaluating our first deep model on text data.mp4151.02 MB
10. NLP Fundamentals in TensorFlow/16. Visualizing our model's learned word embeddings with TensorFlow's projector tool.en.srt34.4 KB
10. NLP Fundamentals in TensorFlow/16. Visualizing our model's learned word embeddings with TensorFlow's projector tool.mp4269.1 MB
10. NLP Fundamentals in TensorFlow/17. High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.en.srt15.13 KB
10. NLP Fundamentals in TensorFlow/17. High-level overview of Recurrent Neural Networks (RNNs) + where to learn more.mp470.04 MB
10. NLP Fundamentals in TensorFlow/18. Model 2 Building, fitting and evaluating our first TensorFlow RNN model (LSTM).en.srt21.4 KB
10. NLP Fundamentals in TensorFlow/18. Model 2 Building, fitting and evaluating our first TensorFlow RNN model (LSTM).mp4114.4 MB
10. NLP Fundamentals in TensorFlow/19. Model 3 Building, fitting and evaluating a GRU-cell powered RNN.en.srt27.5 KB
10. NLP Fundamentals in TensorFlow/19. Model 3 Building, fitting and evaluating a GRU-cell powered RNN.mp4117.75 MB
10. NLP Fundamentals in TensorFlow/2. Introduction to Natural Language Processing (NLP) and Sequence Problems.en.srt23.04 KB
10. NLP Fundamentals in TensorFlow/2. Introduction to Natural Language Processing (NLP) and Sequence Problems.mp484.88 MB
10. NLP Fundamentals in TensorFlow/20. Model 4 Building, fitting and evaluating a bidirectional RNN model.en.srt31.21 KB
10. NLP Fundamentals in TensorFlow/20. Model 4 Building, fitting and evaluating a bidirectional RNN model.mp4108.77 MB
10. NLP Fundamentals in TensorFlow/21. Discussing the intuition behind Conv1D neural networks for text and sequences.en.srt29.99 KB
10. NLP Fundamentals in TensorFlow/21. Discussing the intuition behind Conv1D neural networks for text and sequences.mp4128.86 MB
10. NLP Fundamentals in TensorFlow/22. Model 5 Building, fitting and evaluating a 1D CNN for text.en.srt16.66 KB
10. NLP Fundamentals in TensorFlow/22. Model 5 Building, fitting and evaluating a 1D CNN for text.mp450.89 MB
10. NLP Fundamentals in TensorFlow/23. Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).en.srt21.81 KB
10. NLP Fundamentals in TensorFlow/23. Using TensorFlow Hub for pretrained word embeddings (transfer learning for NLP).mp489.87 MB
10. NLP Fundamentals in TensorFlow/24. Model 6 Building, training and evaluating a transfer learning model for NLP.en.srt18.21 KB
10. NLP Fundamentals in TensorFlow/24. Model 6 Building, training and evaluating a transfer learning model for NLP.mp465.78 MB
10. NLP Fundamentals in TensorFlow/25. Preparing subsets of data for model 7 (same as model 6 but 10% of data).en.srt17.04 KB
10. NLP Fundamentals in TensorFlow/25. Preparing subsets of data for model 7 (same as model 6 but 10% of data).mp461.74 MB
10. NLP Fundamentals in TensorFlow/26. Model 7 Building, training and evaluating a transfer learning model on 10% data.en.srt14.38 KB
10. NLP Fundamentals in TensorFlow/26. Model 7 Building, training and evaluating a transfer learning model on 10% data.mp470.38 MB
10. NLP Fundamentals in TensorFlow/27. Fixing our data leakage issue with model 7 and retraining it.en.srt15.77 KB
10. NLP Fundamentals in TensorFlow/27. Fixing our data leakage issue with model 7 and retraining it.mp4121.19 MB
10. NLP Fundamentals in TensorFlow/28. Comparing all our modelling experiments evaluation metrics.en.srt19.87 KB
10. NLP Fundamentals in TensorFlow/28. Comparing all our modelling experiments evaluation metrics.mp471.64 MB
10. NLP Fundamentals in TensorFlow/29. Uploading our model's training logs to TensorBoard and comparing them.en.srt17.44 KB
10. NLP Fundamentals in TensorFlow/29. Uploading our model's training logs to TensorBoard and comparing them.mp468.93 MB
10. NLP Fundamentals in TensorFlow/3. Example NLP inputs and outputs.en.srt13.53 KB
10. NLP Fundamentals in TensorFlow/3. Example NLP inputs and outputs.mp436.44 MB
10. NLP Fundamentals in TensorFlow/30. Saving and loading in a trained NLP model with TensorFlow.en.srt15.42 KB
10. NLP Fundamentals in TensorFlow/30. Saving and loading in a trained NLP model with TensorFlow.mp473.06 MB
10. NLP Fundamentals in TensorFlow/31. Downloading a pretrained model and preparing data to investigate predictions.en.srt17.28 KB
10. NLP Fundamentals in TensorFlow/31. Downloading a pretrained model and preparing data to investigate predictions.mp493.02 MB
10. NLP Fundamentals in TensorFlow/32. Visualizing our model's most wrong predictions.en.srt13.42 KB
10. NLP Fundamentals in TensorFlow/32. Visualizing our model's most wrong predictions.mp454.69 MB
10. NLP Fundamentals in TensorFlow/33. Making and visualizing predictions on the test dataset.en.srt13.06 KB
10. NLP Fundamentals in TensorFlow/33. Making and visualizing predictions on the test dataset.mp454.42 MB
10. NLP Fundamentals in TensorFlow/34. Understanding the concept of the speedscore tradeoff.en.srt20.95 KB
10. NLP Fundamentals in TensorFlow/34. Understanding the concept of the speedscore tradeoff.mp485.9 MB
10. NLP Fundamentals in TensorFlow/35. NLP Fundamentals in TensorFlow challenge, exercises and extra-curriculum.html250.8 KB
10. NLP Fundamentals in TensorFlow/4. The typical architecture of a Recurrent Neural Network (RNN).en.srt14.97 KB
10. NLP Fundamentals in TensorFlow/4. The typical architecture of a Recurrent Neural Network (RNN).mp486.75 MB
10. NLP Fundamentals in TensorFlow/5. Preparing a notebook for our first NLP with TensorFlow project.en.srt11.88 KB
10. NLP Fundamentals in TensorFlow/5. Preparing a notebook for our first NLP with TensorFlow project.mp455.97 MB
10. NLP Fundamentals in TensorFlow/6. Becoming one with the data and visualizing a text dataset.en.srt25.37 KB
10. NLP Fundamentals in TensorFlow/6. Becoming one with the data and visualizing a text dataset.mp4114.07 MB
10. NLP Fundamentals in TensorFlow/7. Splitting data into training and validation sets.en.srt8.46 KB
10. NLP Fundamentals in TensorFlow/7. Splitting data into training and validation sets.mp440.33 MB
10. NLP Fundamentals in TensorFlow/8. Converting text data to numbers using tokenisation and embeddings (overview).en.srt14.39 KB
10. NLP Fundamentals in TensorFlow/8. Converting text data to numbers using tokenisation and embeddings (overview).mp467.72 MB
10. NLP Fundamentals in TensorFlow/9. Setting up a TensorFlow TextVectorization layer to convert text to numbers.en.srt25.11 KB
10. NLP Fundamentals in TensorFlow/9. Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4145.61 MB
10. NLP Fundamentals in TensorFlow/[FCSNEW.NET].url119 B
11. Milestone Project 2 SkimLit/0. Websites you may like/[FCSNEW.NET].url119 B
11. Milestone Project 2 SkimLit/1. Introduction to Milestone Project 2 SkimLit.en.srt24.98 KB
11. Milestone Project 2 SkimLit/1. Introduction to Milestone Project 2 SkimLit.mp496.26 MB
11. Milestone Project 2 SkimLit/10. Preparing our data for deep sequence models.en.srt14.26 KB
11. Milestone Project 2 SkimLit/10. Preparing our data for deep sequence models.mp459.93 MB
11. Milestone Project 2 SkimLit/11. Creating a text vectoriser to map our tokens (text) to numbers.en.srt20.96 KB
11. Milestone Project 2 SkimLit/11. Creating a text vectoriser to map our tokens (text) to numbers.mp494.91 MB
11. Milestone Project 2 SkimLit/12. Creating a custom token embedding layer with TensorFlow.en.srt14.69 KB
11. Milestone Project 2 SkimLit/12. Creating a custom token embedding layer with TensorFlow.mp471.03 MB
11. Milestone Project 2 SkimLit/13. Creating fast loading dataset with the TensorFlow tf.data API.en.srt14.79 KB
11. Milestone Project 2 SkimLit/13. Creating fast loading dataset with the TensorFlow tf.data API.mp459.27 MB
11. Milestone Project 2 SkimLit/14. Model 1 Building, fitting and evaluating a Conv1D with token embeddings.en.srt22.21 KB
11. Milestone Project 2 SkimLit/14. Model 1 Building, fitting and evaluating a Conv1D with token embeddings.mp4118.1 MB
11. Milestone Project 2 SkimLit/15. Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.en.srt17.28 KB
11. Milestone Project 2 SkimLit/15. Preparing a pretrained embedding layer from TensorFlow Hub for Model 2.mp494.32 MB
11. Milestone Project 2 SkimLit/16. Model 2 Building, fitting and evaluating a Conv1D model with token embeddings.en.srt18.23 KB
11. Milestone Project 2 SkimLit/16. Model 2 Building, fitting and evaluating a Conv1D model with token embeddings.mp474.75 MB

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