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

/14. Neural Networks Deep Learning/25.4 Papers with Code (a great resource for some of the best machine learning papers with code examples).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/23.1 TensorFlow Hub (resource for pre-trained deep learning models and more).html

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

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

/14. Neural Networks Deep Learning/4.2 Google Colab (our workspace for the upcoming project).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/24. Optional How machines learn and what's going on behind the scenes.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/27.1 The Softmax Function (activation function we use in our model).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/25.5 PyTorch Hub (PyTorch version of TensorFlow Hub).html

/14. Neural Networks Deep Learning/4.3 End-to-end Dog Vision Notebook (the project we'll be working through).html

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