FreeCourseSite com Udemy TensorFlow for Deep Learning Bootcamp

/04 - Neural network classification in TensorFlow/018 Using the TensorFlow History object to plot a model's loss curves_en.srt

/04 - Neural network classification in TensorFlow/018 Using the TensorFlow History object to plot a model's loss curves.mp4

/04 - Neural network classification in TensorFlow/019 Using callbacks to find a model's ideal learning rate_en.srt

/04 - Neural network classification in TensorFlow/008 Trying to improve our not very good classification model_en.srt

/04 - Neural network classification in TensorFlow/022 Finding the accuracy of our classification model_en.srt

/04 - Neural network classification in TensorFlow/034 What patterns is our model learning_en.srt

/04 - Neural network classification in TensorFlow/009 Creating a function to view our model's not so good predictions_en.srt

/04 - Neural network classification in TensorFlow/011 Make our poor classification model work for a regression dataset_en.srt

/04 - Neural network classification in TensorFlow/019 Using callbacks to find a model's ideal learning rate.mp4

/04 - Neural network classification in TensorFlow/003 Input and output tensors of classification problems_en.srt

/04 - Neural network classification in TensorFlow/014 Non-linearity part 3 Upgrading our non-linear model with more layers_en.srt

/04 - Neural network classification in TensorFlow/017 Getting great results in less time by tweaking the learning rate_en.srt

/04 - Neural network classification in TensorFlow/024 Making our confusion matrix prettier_en.srt

/04 - Neural network classification in TensorFlow/005 Creating and viewing classification data to model_en.srt

/04 - Neural network classification in TensorFlow/006 Checking the input and output shapes of our classification data_en.srt

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