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UpdateDate 2024-9-18

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Files PaidCoursesForFree.com.url | 121B 1. Theory Part 1 - RNNs and LSTMs/4. Test Your Understanding.html | 160B 7. Practical Part 5 - Training the Model/6. Proceeding.html | 384B 1. Theory Part 1 - RNNs and LSTMs/1. Before we Start.html | 1.04KB 1. Theory Part 1 - RNNs and LSTMs/7. LSTM Variants.vtt | 3.91KB 1. Theory Part 1 - RNNs and LSTMs/8. LSTM Step-by-Step Example Walktrough.vtt | 4.57KB 5. Practical Part 3 - Data Preperation/2. Understanding the zip function.vtt | 6.37KB 6. Practical Part 4 - Building the Model/1. Understanding the Encoder.vtt | 6.82KB 2. Theory Part 2 - Sequence Modeling/2. Attention Mechanisms.vtt | 7.12KB 7. Practical Part 5 - Training the Model/2. Teacher Forcing.vtt | 7.28KB 7. Practical Part 5 - Training the Model/1. Creating the Loss Function.vtt | 7.44KB 4. Practical Part 2 - Processing the Dataset/5. Processing the Dataset Part 4.vtt | 7.53KB 4. Practical Part 2 - Processing the Dataset/2. Processing the Dataset Part 1.vtt | 7.59KB 4. Practical Part 2 - Processing the Dataset/9. Filtering the Text.vtt | 7.81KB 2. Theory Part 2 - Sequence Modeling/3. How Attention Mechanisms Work.vtt | 8.14KB 6. Practical Part 4 - Building the Model/3. Understanding Pack Padded Sequence.vtt | 8.36KB 4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.vtt | 9.27KB 5. Practical Part 3 - Data Preperation/3. Preparing the Data for Model Part 2.vtt | 9.28KB 1. Theory Part 1 - RNNs and LSTMs/3. Introduction to RNNs Part 2.vtt | 9.86KB 4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.vtt | 10.08KB 4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.vtt | 10.22KB 2. Theory Part 2 - Sequence Modeling/1. Sequence-to-Sequence Models.vtt | 10.30KB 4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.vtt | 10.30KB 1. Theory Part 1 - RNNs and LSTMs/6. LSTMs.vtt | 10.69KB 1. Theory Part 1 - RNNs and LSTMs/5. Playing with the Activations.vtt | 10.85KB 4. Practical Part 2 - Processing the Dataset/7. Processing the Text.vtt | 10.87KB 4. Practical Part 2 - Processing the Dataset/1. The Dataset.vtt | 11.17KB 5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.vtt | 12.20KB 3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.vtt | 12.64KB 1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.vtt | 12.66KB 7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.vtt | 12.66KB 3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.vtt | 13.21KB 4. Practical Part 2 - Processing the Dataset/6. Processing the Words.vtt | 13.56KB 5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.vtt | 14.21KB 7. Practical Part 5 - Training the Model/5. Training.vtt | 14.36KB 5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.vtt | 15.18KB 7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.vtt | 16.41KB 6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.vtt | 16.67KB 6. Practical Part 4 - Building the Model/4. Designing the Attention Model.vtt | 18.30KB 6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.vtt | 20.38KB 6. Practical Part 4 - Building the Model/2. Defining the Encoder.vtt | 28.05KB 1. Theory Part 1 - RNNs and LSTMs/8. LSTM Step-by-Step Example Walktrough.mp4 | 22.76MB 1. Theory Part 1 - RNNs and LSTMs/7. LSTM Variants.mp4 | 23.50MB 2. Theory Part 2 - Sequence Modeling/3. How Attention Mechanisms Work.mp4 | 36.78MB 2. Theory Part 2 - Sequence Modeling/2. Attention Mechanisms.mp4 | 40.13MB 2. Theory Part 2 - Sequence Modeling/1. Sequence-to-Sequence Models.mp4 | 43.57MB 5. Practical Part 3 - Data Preperation/2. Understanding the zip function.mp4 | 45.38MB 7. Practical Part 5 - Training the Model/2. Teacher Forcing.mp4 | 48.89MB 6. Practical Part 4 - Building the Model/1. Understanding the Encoder.mp4 | 53.23MB 5. Practical Part 3 - Data Preperation/3. Preparing the Data for Model Part 2.mp4 | 54.96MB 4. Practical Part 2 - Processing the Dataset/5. Processing the Dataset Part 4.mp4 | 56.17MB 6. Practical Part 4 - Building the Model/3. Understanding Pack Padded Sequence.mp4 | 59.14MB 4. Practical Part 2 - Processing the Dataset/9. Filtering the Text.mp4 | 63.23MB 1. Theory Part 1 - RNNs and LSTMs/6. LSTMs.mp4 | 66.69MB 7. Practical Part 5 - Training the Model/1. Creating the Loss Function.mp4 | 67.47MB 1. Theory Part 1 - RNNs and LSTMs/3. Introduction to RNNs Part 2.mp4 | 67.84MB 3. Practical Part 1 - Introduction to PyTorch/3. Torch Tensors Part 2.mp4 | 67.95MB 3. Practical Part 1 - Introduction to PyTorch/3. Torch Tensors Part 2.vtt | 67.96MB 4. Practical Part 2 - Processing the Dataset/2. Processing the Dataset Part 1.mp4 | 68.07MB 1. Theory Part 1 - RNNs and LSTMs/5. Playing with the Activations.mp4 | 71.58MB 3. Practical Part 1 - Introduction to PyTorch/1. Installing PyTorch and an Introduction.mp4 | 72.93MB 4. Practical Part 2 - Processing the Dataset/3. Processing the Data Part 2.mp4 | 73.84MB 4. Practical Part 2 - Processing the Dataset/4. Processing the Dataset Part 3.mp4 | 75.69MB 3. Practical Part 1 - Introduction to PyTorch/2. Torch Tensors Part 1.mp4 | 77.70MB 1. Theory Part 1 - RNNs and LSTMs/2. Introduction to RNNs Part 1.mp4 | 79.41MB 4. Practical Part 2 - Processing the Dataset/1. The Dataset.mp4 | 81.85MB 4. Practical Part 2 - Processing the Dataset/10. Getting Rid of Rare Words.mp4 | 82.54MB 5. Practical Part 3 - Data Preperation/1. Preparing the Data for Model Part 1.mp4 | 87.10MB 5. Practical Part 3 - Data Preperation/4. Preparing the Data for Model Part 3.mp4 | 88.57MB 4. Practical Part 2 - Processing the Dataset/6. Processing the Words.mp4 | 89.21MB 4. Practical Part 2 - Processing the Dataset/7. Processing the Text.mp4 | 95.63MB 4. Practical Part 2 - Processing the Dataset/8. Processing the Text Part 2.mp4 | 95.63MB 5. Practical Part 3 - Data Preperation/5. Preparing the Data for Model Part 4.mp4 | 104.29MB 7. Practical Part 5 - Training the Model/4. Visualize Training Part 2.mp4 | 113.13MB 7. Practical Part 5 - Training the Model/5. Training.mp4 | 122.86MB 6. Practical Part 4 - Building the Model/5. Designing the Decoder Part 1.mp4 | 127.27MB 7. Practical Part 5 - Training the Model/3. Visualize Training Part 1.mp4 | 131.88MB 6. Practical Part 4 - Building the Model/4. Designing the Attention Model.mp4 | 151.49MB 6. Practical Part 4 - Building the Model/6. Designing the Decoder Part 2.mp4 | 160.16MB 6. Practical Part 4 - Building the Model/2. Defining the Encoder.mp4 | 242.23MB