[PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application


[PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application
Category:
 Other
Date:
07/23/19 at 2:43pm GMT+1
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Unknown
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0
Leechers:
1
File size:
3.1 GB in 79 files

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  This torrent has been verified.

Infohash:
3d7c30874d0b0bf65059dfc7af6382eca800db44


File list

  • [PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application
  • icon 1. Theory Part 1 - RNNs and LSTMs/1. Before we Start.html 1 KB
    icon 1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.mp4 79.4 MB
    icon 1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.vtt 12.7 KB
    icon 1. Theory Part 1 - RNNs and LSTMs/3. Introduction to RNNs Part 2.mp4 67.8 MB
    icon 1. Theory Part 1 - RNNs and LSTMs/3. Introduction to RNNs Part 2.vtt 9.9 KB
    icon 1. Theory Part 1 - RNNs and LSTMs/4. Test Your Understanding.html 160 B
    icon 1. Theory Part 1 - RNNs and LSTMs/5. Playing with the Activations.mp4 71.6 MB
    icon 1. Theory Part 1 - RNNs and LSTMs/5. Playing with the Activations.vtt 10.9 KB
    icon 1. Theory Part 1 - RNNs and LSTMs/6. LSTMs.mp4 66.7 MB
    icon 1. Theory Part 1 - RNNs and LSTMs/6. LSTMs.vtt 10.7 KB
    icon 1. Theory Part 1 - RNNs and LSTMs/7. LSTM Variants.mp4 23.5 MB
    icon 1. Theory Part 1 - RNNs and LSTMs/7. LSTM Variants.vtt 3.9 KB
    icon 1. Theory Part 1 - RNNs and LSTMs/8. LSTM Step-by-Step Example Walktrough.mp4 22.8 MB
    icon 1. Theory Part 1 - RNNs and LSTMs/8. LSTM Step-by-Step Example Walktrough.vtt 4.6 KB
    icon 2. Theory Part 2 - Sequence Modeling/1. Sequence-to-Sequence Models.mp4 43.6 MB
    icon 2. Theory Part 2 - Sequence Modeling/1. Sequence-to-Sequence Models.vtt 10.3 KB
    icon 2. Theory Part 2 - Sequence Modeling/2. Attention Mechanisms.mp4 40.1 MB
    icon 2. Theory Part 2 - Sequence Modeling/2. Attention Mechanisms.vtt 7.1 KB
    icon 2. Theory Part 2 - Sequence Modeling/3. How Attention Mechanisms Work.mp4 36.8 MB
    icon 2. Theory Part 2 - Sequence Modeling/3. How Attention Mechanisms Work.vtt 8.1 KB
    icon 3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.mp4 72.9 MB
    icon 3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.vtt 12.6 KB
    icon 3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.mp4 77.7 MB
    icon 3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.vtt 13.2 KB
    icon 3. Practical Part 1 - Introduction to PyTorch/3. Torch Tensors Part 2.mp4 68 MB
    icon 3. Practical Part 1 - Introduction to PyTorch/3. Torch Tensors Part 2.vtt 68 MB
    icon 4. Practical Part 2 - Processing the Dataset/1. The Dataset.mp4 81.8 MB
    icon 4. Practical Part 2 - Processing the Dataset/1. The Dataset.vtt 11.2 KB
    icon 4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.mp4 82.5 MB
    icon 4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.vtt 10.3 KB
    icon 4. Practical Part 2 - Processing the Dataset/2. Processing the Dataset Part 1.mp4 68.1 MB
    icon 4. Practical Part 2 - Processing the Dataset/2. Processing the Dataset Part 1.vtt 7.6 KB
    icon 4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.mp4 73.8 MB
    icon 4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.vtt 9.3 KB
    icon 4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.mp4 75.7 MB
    icon 4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.vtt 10.2 KB
    icon 4. Practical Part 2 - Processing the Dataset/5. Processing the Dataset Part 4.mp4 56.2 MB
    icon 4. Practical Part 2 - Processing the Dataset/5. Processing the Dataset Part 4.vtt 7.5 KB
    icon 4. Practical Part 2 - Processing the Dataset/6. Processing the Words.mp4 89.2 MB
    icon 4. Practical Part 2 - Processing the Dataset/6. Processing the Words.vtt 13.6 KB
    icon 4. Practical Part 2 - Processing the Dataset/7. Processing the Text.mp4 95.6 MB
    icon 4. Practical Part 2 - Processing the Dataset/7. Processing the Text.vtt 10.9 KB
    icon 4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.mp4 95.6 MB
    icon 4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.vtt 10.1 KB
    icon 4. Practical Part 2 - Processing the Dataset/9. Filtering the Text.mp4 63.2 MB
    icon 4. Practical Part 2 - Processing the Dataset/9. Filtering the Text.vtt 7.8 KB
    icon 5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.mp4 87.1 MB
    icon 5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.vtt 14.2 KB
    icon 5. Practical Part 3 - Data Preperation/2. Understanding the zip function.mp4 45.4 MB
    icon 5. Practical Part 3 - Data Preperation/2. Understanding the zip function.vtt 6.4 KB
    icon 5. Practical Part 3 - Data Preperation/3. Preparing the Data for Model Part 2.mp4 55 MB
    icon 5. Practical Part 3 - Data Preperation/3. Preparing the Data for Model Part 2.vtt 9.3 KB
    icon 5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.mp4 88.6 MB
    icon 5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.vtt 12.2 KB
    icon 5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.mp4 104.3 MB
    icon 5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.vtt 15.2 KB
    icon 6. Practical Part 4 - Building the Model/1. Understanding the Encoder.mp4 53.2 MB
    icon 6. Practical Part 4 - Building the Model/1. Understanding the Encoder.vtt 6.8 KB
    icon 6. Practical Part 4 - Building the Model/2. Defining the Encoder.mp4 242.2 MB
    icon 6. Practical Part 4 - Building the Model/2. Defining the Encoder.vtt 28.1 KB
    icon 6. Practical Part 4 - Building the Model/3. Understanding Pack Padded Sequence.mp4 59.1 MB
    icon 6. Practical Part 4 - Building the Model/3. Understanding Pack Padded Sequence.vtt 8.4 KB
    icon 6. Practical Part 4 - Building the Model/4. Designing the Attention Model.mp4 151.5 MB
    icon 6. Practical Part 4 - Building the Model/4. Designing the Attention Model.vtt 18.3 KB
    icon 6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.mp4 127.3 MB
    icon 6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.vtt 16.7 KB
    icon 6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.mp4 160.2 MB
    icon 6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.vtt 20.4 KB
    icon 7. Practical Part 5 - Training the Model/1. Creating the Loss Function.mp4 67.5 MB
    icon 7. Practical Part 5 - Training the Model/1. Creating the Loss Function.vtt 7.4 KB
    icon 7. Practical Part 5 - Training the Model/2. Teacher Forcing.mp4 48.9 MB
    icon 7. Practical Part 5 - Training the Model/2. Teacher Forcing.vtt 7.3 KB
    icon 7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.mp4 131.9 MB
    icon 7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.vtt 16.4 KB
    icon 7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.mp4 113.1 MB
    icon 7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.vtt 12.7 KB
    icon 7. Practical Part 5 - Training the Model/5. Training.mp4 122.9 MB
    icon 7. Practical Part 5 - Training the Model/5. Training.vtt 14.4 KB
    icon 7. Practical Part 5 - Training the Model/6. Proceeding.html 384 B

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