Linkedin Learning Generative NLP With Variational AutoEncoders

Files Included :

1 Leveling up in generative NLP.mp4 (10.54 MB)
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2 Getting started with VAEs.mp4 (10.36 MB)
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3 Getting the most out of this course.mp4 (1.91 MB)
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4 Version check.mp4 (5.05 MB)
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1 Why do we need custom elements in Keras.mp4 (12.61 MB)
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10 Challenge prep- Create a Siamese network.mp4 (8.02 MB)
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11 Solution- Create a Siamese network.mp4 (47.34 MB)
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2 Using the functional API vs sequential API.mp4 (14.59 MB)
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3 Demo- Creating a multioutput model.mp4 (57.65 MB)
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4 Creating and adding a custom loss function.mp4 (13.74 MB)
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5 Demo- Adding a custom loss function.mp4 (35.53 MB)
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6 Creating a custom layer.mp4 (10.02 MB)
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7 Demo- Training a model with a custom layer.mp4 (33.43 MB)
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8 Merging everything- Declaring the model.mp4 (12.56 MB)
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9 Demo- Training the custom model.mp4 (50.92 MB)
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1 What is an autoencoder.mp4 (19.61 MB)
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2 Applications of autoencoders.mp4 (33.23 MB)
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3 Demo- Creating a simple autoencoder.mp4 (60.3 MB)
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4 Using custom encoder to output latent representation.mp4 (12.14 MB)
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5 Integrating everything in Keras for text generation.mp4 (38.84 MB)
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6 Demo- Creating a deep autoencoder.mp4 (68.83 MB)
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7 Challenge- Denoise with an autoencoder.mp4 (8.82 MB)
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8 Solution- Denoise with an autoencoder part 1.mp4 (59.74 MB)
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9 Solution- Denoise with an autoencoder part 2.mp4 (48.34 MB)
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1 What changes with VAEs.mp4 (7.7 MB)
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2 Incorporating BiLSTMs to VAEs.mp4 (9.4 MB)
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3 Demo- Creating the encoder.mp4 (34.22 MB)
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4 The loss function and KL divergence.mp4 (13.48 MB)
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5 Demo- Creating the custom loss function and custom optimizer.mp4 (32.34 MB)
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6 Integrating everything to train the VAE.mp4 (11.53 MB)
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7 Generating sentences.mp4 (4.47 MB)
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1 Challenge prep for final challenges.mp4 (5.92 MB)
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2 Solution- Building the VAE.mp4 (56.46 MB)
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3 Solution- Training the VAE.mp4 (26.22 MB)
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4 Solution- Generating text.mp4 (29.86 MB)
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1 Recap of what we covered.mp4 (29.86 MB)
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2 Where to go next.mp4 (12.86 MB)
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