FreeAllCourse Com Udemy Complete Machine Learning and Data Science Zero to Mastery

/14. Neural Networks Deep Learning/17.1 Blog post by Rachel Thomas (of fast.ai) on how and why you should create a validation set.html

/14. Neural Networks Deep Learning/4.5 Google Colab IO example (how to get data in and out of your Colab notebook).html

/14. Neural Networks Deep Learning/6.2 Google Colab IO example (how to get data in and out of your Colab notebook).html

/14. Neural Networks Deep Learning/5.2 Google Colab FAQ (things you should know about Google Colab).html

/14. Neural Networks Deep Learning/42.1 Dog Vision Predictions with MobileNetV2 Ready for Kaggle Submission.html

/14. Neural Networks Deep Learning/43.2 End-to-end Dog Vision Notebook (with annotations).html

/14. Neural Networks Deep Learning/24. Optional How machines learn and what's going on behind the scenes.html

/14. Neural Networks Deep Learning/35.1 TensorFlow documentation for the unbatch() function.html

/14. Neural Networks Deep Learning/43.1 End-to-end Dog Vision Notebook (from the videos).html

/14. Neural Networks Deep Learning/14.1 Documentation on how many images Google recommends for image problems.html

/14. Neural Networks Deep Learning/27.1 The Softmax Function (activation function we use in our model).html

/14. Neural Networks Deep Learning/5.1 Google Colab (our workspace for the upcoming project).html

/14. Neural Networks Deep Learning/6.1 Kaggle Dog Breed Identification Competition Data.html

/14. Neural Networks Deep Learning/12.1 Google Colab Example of GPU speed up versus CPU.html

/14. Neural Networks Deep Learning/18.1 TensorFlow guidelines for loading all kinds of data (turning your data into Tensors).html

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