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| Archived
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|
01 - Course Overview\01 - Course Overview.mp4
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02 - Overview of Classification Models\02 - Prerequisites and Software Needed for This Course.mp4
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02 - Overview of Classification Models\03 - Classification and Classifiers.mp4
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02 - Overview of Classification Models\04 - Using Accuracy to Evaluate Models.mp4
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02 - Overview of Classification Models\05 - Using Precision and Recall to Evaluate Models.mp4
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02 - Overview of Classification Models\06 - The Precision_Recall Tradeoff.mp4
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02 - Overview of Classification Models\07 - The Precision-Recall Tradeoff.mp4
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02 - Overview of Classification Models\08 - Binary, Multilabel, Multiclass, and Multioutput Classifiers.mp4
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03 - Simple Classification Models in TensorFlow\09 - Representing Images as Tensors.mp4
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03 - Simple Classification Models in TensorFlow\10 - The K-nearest Neighbors Algorithm.mp4
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03 - Simple Classification Models in TensorFlow\11 - Distance Measures.mp4
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03 - Simple Classification Models in TensorFlow\12 - Demo - Environment and Package Setup.mp4
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03 - Simple Classification Models in TensorFlow\13 - Demo - Image Classification Using K-nearest Neighbors.mp4
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03 - Simple Classification Models in TensorFlow\14 - The Intuition Behind Logistic Regression.mp4
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03 - Simple Classification Models in TensorFlow\15 - Logistic Regression for Prediction.mp4
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03 - Simple Classification Models in TensorFlow\16 - Cross-entropy as a Cost Function.mp4
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03 - Simple Classification Models in TensorFlow\17 - Demo - Exploring the Census Dataset.mp4
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03 - Simple Classification Models in TensorFlow\18 - Feature Engineering with Bucketized and Crossed Columns.mp4
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03 - Simple Classification Models in TensorFlow\19 - Working with Estimators in TensorFlow.mp4
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03 - Simple Classification Models in TensorFlow\20 - Demo - Income Prediction Using Logistic Regression.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\21 - Neurons and Neural Networks.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\22 - Understanding How Convolution Works.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\23 - Zero Padding and Stride Size.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\24 - Introducing Convolutional Neural Networks.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\25 - Convolutional Layers and Feature Maps.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\26 - Pooling Layers.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\27 - Architecture of CNNs.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\28 - Demo - Image Classification Using CNNs (MNIST Dataset).mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\29 - Demo - Exploring the CIFAR-10 Dataset.mp4
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04 - Convolutional Neural Networks for Classification in TensorFlow\30 - Demo - Image Classification Using CNNs (CIFAR-10 Dataset).mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\31 - Why Is the Past Important.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\32 - Understaning the Recurrent Neuron.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\33 - Training Using Back Propogation.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\34 - Demo - Classifying Images Using RNNs (MNIST Dataset).mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\35 - Dealing with Vanishing and Exploding Gradients.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\36 - The LSTM Memory Cell.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\37 - Word Vector Encodings.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\38 - Demo - Exploring the DBPedia Dataset for Text Classification.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\39 - Demo - Text Classification Using RNNs.mp4
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05 - Recurrent Neural Networks for Classification in TensorFlow\40 - Summary and Next Steps for Learning.mp4
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tensorflow-building-classification-models.zip |
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01 - Course Overview |
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