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

/14. Neural Networks Deep Learning/27.3 MobileNetV2 (the model we're using) architecture explanation by Sik-Ho Tsang.html

/14. Neural Networks Deep Learning/25.2 MobileNetV2 (the model we're using) on TensorFlow Hub.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/4.2 Google Colab (our workspace for the upcoming project).html

/14. Neural Networks Deep Learning/5.1 Google Colab (our workspace for the upcoming project).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/25.3 Andrei Karpathy's talk on AI at Tesla.html

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

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

/14. Neural Networks Deep Learning/18.2 Documentation for loading images in TensorFlow.html

/14. Neural Networks Deep Learning/25.5 PyTorch Hub (PyTorch version of TensorFlow Hub).html

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

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

/14. Neural Networks Deep Learning/11.1 Google Colab example GPU usage.html

/14. Neural Networks Deep Learning/41.1 Dog Vision Prediction Probabilities Array.html

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