XHORST
08-27-2023, 09:57 PM
https://img87.pixhost.to/images/599/359020115_tuto.jpg
Applied Text Generation using GPT and KerasNLP in Python
Language: English | Size:230.29 MB
Genre:eLearning
Files Included :
1 - Introduction.mp4 (8.64 MB)
MP4
2 - About this Project.mp4 (7.82 MB)
MP4
3 - Why Should we Learn.mp4 (18.09 MB)
MP4
4 - Applications.mp4 (17.66 MB)
MP4
5 - Why Python Keras and Google Colab.mp4 (6.22 MB)
MP4
10 - Activate GPU.mp4 (4.52 MB)
MP4
11 - Checks the availability of the GPU.mp4 (3.15 MB)
MP4
12 - Mounts Google Drive.mp4 (2.76 MB)
MP4
13 - Install Keras NLP.mp4 (3 MB)
MP4
14 - Importing necessary libraries.mp4 (3.52 MB)
MP4
15 - Define the paths to the training and validation text files.mp4 (3.52 MB)
MP4
16 - Loads training and validation datasets and applies filtering.mp4 (10.24 MB)
MP4
17 - Computes the vocabulary.mp4 (6.52 MB)
MP4
18 - Initializes the WordPieceTokenizer.mp4 (5.74 MB)
MP4
19 - Initializes the StartEndPacker layer.mp4 (3.6 MB)
MP4
20 - Defines a preprocess function.mp4 (3.9 MB)
MP4
21 - Preprocesses the training dataset.mp4 (3.7 MB)
MP4
22 - Preprocesses the validation dataset.mp4 (3.25 MB)
MP4
23 - Creates an embedding layer.mp4 (5.31 MB)
MP4
24 - Building the TransformerDecoder layers.mp4 (7.1 MB)
MP4
25 - Creating and compiling the model.mp4 (6.34 MB)
MP4
26 - Summary of the models architecture.mp4 (5.66 MB)
MP4
27 - Training the model.mp4 (6.56 MB)
MP4
28 - Saving the trained model weights.mp4 (6.52 MB)
MP4
29 - Generates a prompt token.mp4 (3.43 MB)
MP4
30 - Generate the logits for the next token.mp4 (5.68 MB)
MP4
31 - Creates a GreedySampler instance for text generation.mp4 (8.59 MB)
MP4
32 - Creates a BeamSampler instance for text generation.mp4 (4.09 MB)
MP4
33 - Creates a RandomSampler instance for text generation.mp4 (3.59 MB)
MP4
34 - Creates a TopKSampler instance for text generation.mp4 (3.57 MB)
MP4
35 - Creates a TopPSampler instance for text generation.mp4 (3.65 MB)
MP4
36 - Define a custom callback.mp4 (17.65 MB)
MP4
6 - Setup the Working Directory.mp4 (6.37 MB)
MP4
7 - What is inside the traintxt and validtxt.mp4 (11.49 MB)
MP4
8 - What is inside the codeipynb.mp4 (3.44 MB)
MP4
9 - Open the Project.mp4 (5.42 MB)
MP4
https://thumbs2.imgbox.com/2a/c9/9LyQeOKL_t.jpg (https://images2.imgbox.com/2a/c9/9LyQeOKL_o.jpg)
https://img88.pixhost.to/images/1104/374886620_1dl.png
Applied Text Generation using GPT and KerasNLP in Python.zip (https://1dl.net/pvnu7bt548gb/Applied_Text_Generation_using_GPT_and_KerasNLP_in_ Python.zip)
https://img87.pixhost.to/images/1010/363506399_rg.png
Applied Text Generation using GPT and KerasNLP in Python.zip (https://rapidgator.net/file/11899396bc9f1ba25d4a753b4ce71c03/Applied_Text_Generation_using_GPT_and_KerasNLP_in_ Python.zip)
https://img89.pixhost.to/images/72/375727939_katfile.png
Applied Text Generation using GPT and KerasNLP in Python.zip (https://katfile.com/qffjfyvdxfmo/Applied_Text_Generation_using_GPT_and_KerasNLP_in_ Python.zip)
Applied Text Generation using GPT and KerasNLP in Python
Language: English | Size:230.29 MB
Genre:eLearning
Files Included :
1 - Introduction.mp4 (8.64 MB)
MP4
2 - About this Project.mp4 (7.82 MB)
MP4
3 - Why Should we Learn.mp4 (18.09 MB)
MP4
4 - Applications.mp4 (17.66 MB)
MP4
5 - Why Python Keras and Google Colab.mp4 (6.22 MB)
MP4
10 - Activate GPU.mp4 (4.52 MB)
MP4
11 - Checks the availability of the GPU.mp4 (3.15 MB)
MP4
12 - Mounts Google Drive.mp4 (2.76 MB)
MP4
13 - Install Keras NLP.mp4 (3 MB)
MP4
14 - Importing necessary libraries.mp4 (3.52 MB)
MP4
15 - Define the paths to the training and validation text files.mp4 (3.52 MB)
MP4
16 - Loads training and validation datasets and applies filtering.mp4 (10.24 MB)
MP4
17 - Computes the vocabulary.mp4 (6.52 MB)
MP4
18 - Initializes the WordPieceTokenizer.mp4 (5.74 MB)
MP4
19 - Initializes the StartEndPacker layer.mp4 (3.6 MB)
MP4
20 - Defines a preprocess function.mp4 (3.9 MB)
MP4
21 - Preprocesses the training dataset.mp4 (3.7 MB)
MP4
22 - Preprocesses the validation dataset.mp4 (3.25 MB)
MP4
23 - Creates an embedding layer.mp4 (5.31 MB)
MP4
24 - Building the TransformerDecoder layers.mp4 (7.1 MB)
MP4
25 - Creating and compiling the model.mp4 (6.34 MB)
MP4
26 - Summary of the models architecture.mp4 (5.66 MB)
MP4
27 - Training the model.mp4 (6.56 MB)
MP4
28 - Saving the trained model weights.mp4 (6.52 MB)
MP4
29 - Generates a prompt token.mp4 (3.43 MB)
MP4
30 - Generate the logits for the next token.mp4 (5.68 MB)
MP4
31 - Creates a GreedySampler instance for text generation.mp4 (8.59 MB)
MP4
32 - Creates a BeamSampler instance for text generation.mp4 (4.09 MB)
MP4
33 - Creates a RandomSampler instance for text generation.mp4 (3.59 MB)
MP4
34 - Creates a TopKSampler instance for text generation.mp4 (3.57 MB)
MP4
35 - Creates a TopPSampler instance for text generation.mp4 (3.65 MB)
MP4
36 - Define a custom callback.mp4 (17.65 MB)
MP4
6 - Setup the Working Directory.mp4 (6.37 MB)
MP4
7 - What is inside the traintxt and validtxt.mp4 (11.49 MB)
MP4
8 - What is inside the codeipynb.mp4 (3.44 MB)
MP4
9 - Open the Project.mp4 (5.42 MB)
MP4
https://thumbs2.imgbox.com/2a/c9/9LyQeOKL_t.jpg (https://images2.imgbox.com/2a/c9/9LyQeOKL_o.jpg)
https://img88.pixhost.to/images/1104/374886620_1dl.png
Applied Text Generation using GPT and KerasNLP in Python.zip (https://1dl.net/pvnu7bt548gb/Applied_Text_Generation_using_GPT_and_KerasNLP_in_ Python.zip)
https://img87.pixhost.to/images/1010/363506399_rg.png
Applied Text Generation using GPT and KerasNLP in Python.zip (https://rapidgator.net/file/11899396bc9f1ba25d4a753b4ce71c03/Applied_Text_Generation_using_GPT_and_KerasNLP_in_ Python.zip)
https://img89.pixhost.to/images/72/375727939_katfile.png
Applied Text Generation using GPT and KerasNLP in Python.zip (https://katfile.com/qffjfyvdxfmo/Applied_Text_Generation_using_GPT_and_KerasNLP_in_ Python.zip)