DesireCourse Net Udemy Complete Machine Learning and Data Science Zero to Mastery

/14. Neural Networks Deep Learning/31.1 Early Stopping Callback (a way to stop your model from training when it stops improving) Documentation.html

/14. Neural Networks Deep Learning/26.1 Keras in TensorFlow Overview Documentation.html

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

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

/14. Neural Networks Deep Learning/4.2 Google Colab (our workspace for the upcoming project).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/10.1 Loading TensorFlow 2.0 into a Colab Notebook (if it isn't the default).html

/14. Neural Networks Deep Learning/30.1 TensorBoard Callback Documentation.html

/14. Neural Networks Deep Learning/4.1 Kaggle Dog Breed Identification Competition (the basis of our upcoming project).html

/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/21.1 Yann LeCun's (OG of deep learning) Tweet on Batch Sizes.html

/14. Neural Networks Deep Learning/23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html

/14. Neural Networks Deep Learning/25.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html

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

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