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01 - Why this course.mp4 90.24 MB
02 - Why Machine Learning.mp4 97.6 MB
03 - Our problem in the TensorFlow Playground.mp4 24.15 MB
04 - How does a neuron work.mp4 74.17 MB
05 - Drawing Decision Boundaries with a single neuron.mp4 21.94 MB
06 - Activation Functions.mp4 41.9 MB
07 - Fully Connected Feed Forward Networks.mp4 25.52 MB
08 - How does a network learn.mp4 41.42 MB
09 - Finding the sweet spot.mp4 16.31 MB
10 - Summary.mp4 12 MB
11 - Python Notebooks on Colab.mp4 30.47 MB
12 - Getting to know our data.mp4 30.21 MB
13 - Our first network with TensorFlow and the Keras API.mp4 53.42 MB
14 - Evaluating our model.mp4 53.01 MB
15 - Training a network with TensorFlow and the Keras API.mp4 59.51 MB
16 - Making our model more general.mp4 29.1 MB
17 - Summing up and saving our final model.mp4 27.67 MB
18 - Converting the Keras model for tensorflow.js.mp4 19.8 MB
19 - Gluing together our JavaScript application.mp4 18.11 MB
20 - Alternative - Hosting your model on Google Cloud ML.mp4 71.02 MB
21 - Alternative - Running on a dedicated Linux server.mp4 13.06 MB
22 - Summary.mp4 17.47 MB
deep-learning-crash-course-notebooks-master.zip 5.58 MB
Discuss.FTUForum.com.html 31.89 KB
FreeCoursesOnline.Me.html 108.3 KB
FTUForum.com.html 100.44 KB
How you can help Team-FTU.txt 235 B
[TGx]Downloaded from torrentgalaxy.org.txt 524 B
Torrent Downloaded From GloDls.to.txt 84 B
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