PaidCoursesForFree com Udemy Applied Deep Learning Build Chatbot Theory Application

PaidCoursesForFree com Udemy Applied Deep Learning Build Chatbot Theory Application

Name	[PaidCoursesForFree.com] - Udemy - Applied Deep Learning Build a Chatbot - Theory, Application	DOWNLOAD Copy Link
Total Size	3.3 GB
Total Files	80
Last Seen	2025-02-19 23:26
Hash	3D7C30874D0B0BF65059DFC7AF6382ECA800DB44

/
PaidCoursesForFree.com.url	0.1 KB
/1. Theory Part 1 - RNNs and LSTMs/
4. Test Your Understanding.html	0.2 KB
1. Before we Start.html	1.1 KB
7. LSTM Variants.vtt	4.0 KB
8. LSTM Step-by-Step Example Walktrough.vtt	4.7 KB
3. Introduction to RNNs Part 2.vtt	10.1 KB
6. LSTMs.vtt	11.0 KB
5. Playing with the Activations.vtt	11.1 KB
2. Introduction to RNNs Part 1.vtt	13.0 KB
8. LSTM Step-by-Step Example Walktrough.mp4	23.9 MB
7. LSTM Variants.mp4	24.6 MB
6. LSTMs.mp4	69.9 MB
3. Introduction to RNNs Part 2.mp4	71.1 MB
5. Playing with the Activations.mp4	75.1 MB
2. Introduction to RNNs Part 1.mp4	83.3 MB
/7. Practical Part 5 - Training the Model/
6. Proceeding.html	0.4 KB
2. Teacher Forcing.vtt	7.5 KB
1. Creating the Loss Function.vtt	7.6 KB
4. Visualize Training Part 2.vtt	13.0 KB
5. Training.vtt	14.7 KB
3. Visualize Training Part 1.vtt	16.8 KB
2. Teacher Forcing.mp4	51.3 MB
1. Creating the Loss Function.mp4	70.7 MB
4. Visualize Training Part 2.mp4	118.6 MB
5. Training.mp4	128.8 MB
3. Visualize Training Part 1.mp4	138.3 MB
/5. Practical Part 3 - Data Preperation/
2. Understanding the zip function.vtt	6.5 KB
3. Preparing the Data for Model Part 2.vtt	9.5 KB
4. Preparing the Data for Model Part 3.vtt	12.5 KB
1. Preparing the Data for Model Part 1.vtt	14.6 KB
5. Preparing the Data for Model Part 4.vtt	15.5 KB
2. Understanding the zip function.mp4	47.6 MB
3. Preparing the Data for Model Part 2.mp4	57.6 MB
1. Preparing the Data for Model Part 1.mp4	91.3 MB
4. Preparing the Data for Model Part 3.mp4	92.9 MB
5. Preparing the Data for Model Part 4.mp4	109.4 MB
/6. Practical Part 4 - Building the Model/
1. Understanding the Encoder.vtt	7.0 KB
3. Understanding Pack Padded Sequence.vtt	8.6 KB
5. Designing the Decoder Part 1.vtt	17.1 KB
4. Designing the Attention Model.vtt	18.7 KB
6. Designing the Decoder Part 2.vtt	20.9 KB
2. Defining the Encoder.vtt	28.7 KB
1. Understanding the Encoder.mp4	55.8 MB
3. Understanding Pack Padded Sequence.mp4	62.0 MB
5. Designing the Decoder Part 1.mp4	133.5 MB
4. Designing the Attention Model.mp4	158.8 MB
6. Designing the Decoder Part 2.mp4	167.9 MB
2. Defining the Encoder.mp4	254.0 MB
/2. Theory Part 2 - Sequence Modeling/
2. Attention Mechanisms.vtt	7.3 KB
3. How Attention Mechanisms Work.vtt	8.3 KB
1. Sequence-to-Sequence Models.vtt	10.5 KB
3. How Attention Mechanisms Work.mp4	38.6 MB
2. Attention Mechanisms.mp4	42.1 MB
1. Sequence-to-Sequence Models.mp4	45.7 MB
/4. Practical Part 2 - Processing the Dataset/
5. Processing the Dataset Part 4.vtt	7.7 KB
2. Processing the Dataset Part 1.vtt	7.8 KB
9. Filtering the Text.vtt	8.0 KB
3. Processing the Data Part 2.vtt	9.5 KB
8. Processing the Text Part 2.vtt	10.3 KB
4. Processing the Dataset Part 3.vtt	10.5 KB
10. Getting Rid of Rare Words.vtt	10.5 KB
7. Processing the Text.vtt	11.1 KB
1. The Dataset.vtt	11.4 KB
6. Processing the Words.vtt	13.9 KB
5. Processing the Dataset Part 4.mp4	58.9 MB
9. Filtering the Text.mp4	66.3 MB
2. Processing the Dataset Part 1.mp4	71.4 MB
3. Processing the Data Part 2.mp4	77.4 MB
4. Processing the Dataset Part 3.mp4	79.4 MB
1. The Dataset.mp4	85.8 MB
10. Getting Rid of Rare Words.mp4	86.5 MB
6. Processing the Words.mp4	93.5 MB
7. Processing the Text.mp4	100.3 MB
8. Processing the Text Part 2.mp4	100.3 MB
/3. Practical Part 1 - Introduction to PyTorch/
1. Installing PyTorch and an Introduction.vtt	12.9 KB
2. Torch Tensors Part 1.vtt	13.5 KB
3. Torch Tensors Part 2.mp4	71.3 MB
3. Torch Tensors Part 2.vtt	71.3 MB
1. Installing PyTorch and an Introduction.mp4	76.5 MB
2. Torch Tensors Part 1.mp4	81.5 MB
Total files 80