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Advanced Deep Learning with Neural Networks
You, This Course and Us
You, This Course and Us (2:38)
Source Code and PDFs
Datasets for all Labs
Convolutional Neural Networks (CNNs)
Mimicking the Visual Cortex (5:07)
Convolution (6:43)
Choice of Kernel Functions (4:47)
Zero Padding and Stride Size (5:47)
CNNs vs DNNs (7:15)
Feature Maps (9:29)
Pooling (6:14)
Lab: Classification of Street View House Numbers - Exploring the Dataset (10:37)
Basic Architecture of a CNN (7:07)
Lab: Classification of Street View House Numbers - Building the Model (12:52)
Lab: Classification of Street View House Numbers - Running the Model (7:35)
Lab: Building a CNN Using the Estimator API (12:19)
Quiz 9: Convolutional Neural Networks (CNNs)
Classifiers and Classification
Classification as an ML Problem (7:49)
Confusion Matrix: Accuracy, Precision and Recall (12:38)
Decision Thresholds and The Precision-Recall Trade-off (10:44)
F1 Scores and The ROC Curve (7:45)
Quiz 8: Classification
Recurrent Neural Networks (RNNs)
Learning From the Past (8:31)
Unrolling an RNN Cell Through Time (6:54)
Training an RNN - Back Propagation Through Time (8:23)
Lab: RNNs for Image Classifcation (14:21)
Vanishing and Exploding Gradients in an RNN (7:05)
Long Memory Neurons vs Truncated BPTT (6:03)
The Long/Short Term Memory Cell (6:28)
A Sequence of Words (6:35)
Text in Numeric Form (15:08)
Lab: Sentiment Analysis on Rotten Tomatoes Reviews - Exploring the Dataset (10:35)
Lab: Sentiment Analysis on Rotten Tomatoes Reviews - Building, Running the Model (11:20)
Quiz 10: Recurrent Neural Networks (RNNs)
Lab: RNNs for Image Classifcation
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