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+--- Thread: Deep Learning NLP for Sentiment analysis And Translation 2025 (/Thread-Deep-Learning-NLP-for-Sentiment-analysis-And-Translation-2025)
Deep Learning NLP for Sentiment analysis And Translation 2025 - AD-TEAM - 01-13-2025
![[Image: 537368816_que-es-udemy-analisis-opiniones.jpg]](https://img100.pixhost.to/images/404/537368816_que-es-udemy-analisis-opiniones.jpg)
9.16 GB | 1h 2min 36s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 - Welcome.mp4 (19.9 MB)
2 - General intro.mp4 (163.06 MB)
47 - Sentiment analysis with Transformer encoder.mp4 (66.83 MB)
48 - Sentiment analysis with LSH Attention.mp4 (539.36 MB)
49 - Understanding Transfer Learning.mp4 (72.55 MB)
50 - Ulmfit.mp4 (45.07 MB)
51 - Gpt.mp4 (119.12 MB)
52 - Bert.mp4 (140.96 MB)
53 - Albert.mp4 (53.8 MB)
54 - Gpt2.mp4 (136.49 MB)
55 - Roberta.mp4 (20.02 MB)
56 - T5.mp4 (75.25 MB)
57 - Data Preparation.mp4 (335 MB)
58 - Buildingtraining and testing model.mp4 (216.72 MB)
59 - Dataset Preparation.mp4 (109.69 MB)
60 - Buildingtraining and testing model.mp4 (73.85 MB)
10 - Sparse tensors.mp4 (18.03 MB)
11 - String tensors.mp4 (23.04 MB)
12 - Variables.mp4 (44.94 MB)
3 - Basics.mp4 (43.55 MB)
4 - Initialization and Casting.mp4 (406.47 MB)
5 - Indexing.mp4 (77.58 MB)
6 - Maths Operations.mp4 (215.03 MB)
7 - Linear algebra operations.mp4 (371.56 MB)
8 - Common methods.mp4 (299.06 MB)
9 - Ragged tensors.mp4 (78.44 MB)
13 - Task understanding.mp4 (30.54 MB)
14 - Data preparation.mp4 (276.41 MB)
15 - Linear regression model.mp4 (105.14 MB)
16 - Error sanctioning.mp4 (95.15 MB)
17 - Training and optimization.mp4 (116.61 MB)
18 - Performance measurement.mp4 (21.95 MB)
19 - Validation and testing.mp4 (135.72 MB)
20 - Corrective measures.mp4 (195.85 MB)
21 - Understanding Sentiment Analysis.mp4 (89.89 MB)
22 - Text Standardization.mp4 (123.4 MB)
23 - Tokenization.mp4 (123.64 MB)
24 - Onehot encoding and Bag of Words.mp4 (124.71 MB)
25 - Term frequency Inverse Document frequency TFIDF.mp4 (96.24 MB)
26 - Embeddings.mp4 (92.53 MB)
27 - How Recurrent neural networks work.mp4 (123.51 MB)
28 - Data preparation.mp4 (206.5 MB)
29 - Building and training RNNs.mp4 (167.13 MB)
30 - Advanced RNNs LSTM and GRU.mp4 (226.95 MB)
31 - 1D Convolutional Neural Network.mp4 (283.94 MB)
32 - Understanding Word2vec.mp4 (211.06 MB)
33 - Integrating pretrained Word2vec embeddings.mp4 (91.47 MB)
34 - Testing.mp4 (52.98 MB)
35 - Visualizing embeddings.mp4 (149.58 MB)
36 - Understanding Machine Translation.mp4 (101.31 MB)
37 - Data Preparation.mp4 (165.92 MB)
38 - Building training and testing Model.mp4 (228.95 MB)
39 - Understanding BLEU score.mp4 (74.36 MB)
40 - Coding BLEU score from scratch.mp4 (111.5 MB)
41 - Understanding Bahdanau Attention.mp4 (180.21 MB)
42 - Building training and testing Bahdanau Attention.mp4 (179.47 MB)
43 - Understanding Transformer Networks.mp4 (607.04 MB)
44 - Building training and testing Transformers.mp4 (556.95 MB)
45 - Building Transformers with Custom Attention Layer.mp4 (183.1 MB)
46 - Visualizing Attention scores.mp4 (87.24 MB)]
Screenshot
![[Image: u3AxtdRM_o.jpg]](https://images2.imgbox.com/7d/a1/u3AxtdRM_o.jpg)
1 - Welcome.mp4 (19.9 MB)
2 - General intro.mp4 (163.06 MB)
47 - Sentiment analysis with Transformer encoder.mp4 (66.83 MB)
48 - Sentiment analysis with LSH Attention.mp4 (539.36 MB)
49 - Understanding Transfer Learning.mp4 (72.55 MB)
50 - Ulmfit.mp4 (45.07 MB)
51 - Gpt.mp4 (119.12 MB)
52 - Bert.mp4 (140.96 MB)
53 - Albert.mp4 (53.8 MB)
54 - Gpt2.mp4 (136.49 MB)
55 - Roberta.mp4 (20.02 MB)
56 - T5.mp4 (75.25 MB)
57 - Data Preparation.mp4 (335 MB)
58 - Buildingtraining and testing model.mp4 (216.72 MB)
59 - Dataset Preparation.mp4 (109.69 MB)
60 - Buildingtraining and testing model.mp4 (73.85 MB)
10 - Sparse tensors.mp4 (18.03 MB)
11 - String tensors.mp4 (23.04 MB)
12 - Variables.mp4 (44.94 MB)
3 - Basics.mp4 (43.55 MB)
4 - Initialization and Casting.mp4 (406.47 MB)
5 - Indexing.mp4 (77.58 MB)
6 - Maths Operations.mp4 (215.03 MB)
7 - Linear algebra operations.mp4 (371.56 MB)
8 - Common methods.mp4 (299.06 MB)
9 - Ragged tensors.mp4 (78.44 MB)
13 - Task understanding.mp4 (30.54 MB)
14 - Data preparation.mp4 (276.41 MB)
15 - Linear regression model.mp4 (105.14 MB)
16 - Error sanctioning.mp4 (95.15 MB)
17 - Training and optimization.mp4 (116.61 MB)
18 - Performance measurement.mp4 (21.95 MB)
19 - Validation and testing.mp4 (135.72 MB)
20 - Corrective measures.mp4 (195.85 MB)
21 - Understanding Sentiment Analysis.mp4 (89.89 MB)
22 - Text Standardization.mp4 (123.4 MB)
23 - Tokenization.mp4 (123.64 MB)
24 - Onehot encoding and Bag of Words.mp4 (124.71 MB)
25 - Term frequency Inverse Document frequency TFIDF.mp4 (96.24 MB)
26 - Embeddings.mp4 (92.53 MB)
27 - How Recurrent neural networks work.mp4 (123.51 MB)
28 - Data preparation.mp4 (206.5 MB)
29 - Building and training RNNs.mp4 (167.13 MB)
30 - Advanced RNNs LSTM and GRU.mp4 (226.95 MB)
31 - 1D Convolutional Neural Network.mp4 (283.94 MB)
32 - Understanding Word2vec.mp4 (211.06 MB)
33 - Integrating pretrained Word2vec embeddings.mp4 (91.47 MB)
34 - Testing.mp4 (52.98 MB)
35 - Visualizing embeddings.mp4 (149.58 MB)
36 - Understanding Machine Translation.mp4 (101.31 MB)
37 - Data Preparation.mp4 (165.92 MB)
38 - Building training and testing Model.mp4 (228.95 MB)
39 - Understanding BLEU score.mp4 (74.36 MB)
40 - Coding BLEU score from scratch.mp4 (111.5 MB)
41 - Understanding Bahdanau Attention.mp4 (180.21 MB)
42 - Building training and testing Bahdanau Attention.mp4 (179.47 MB)
43 - Understanding Transformer Networks.mp4 (607.04 MB)
44 - Building training and testing Transformers.mp4 (556.95 MB)
45 - Building Transformers with Custom Attention Layer.mp4 (183.1 MB)
46 - Visualizing Attention scores.mp4 (87.24 MB)]
Screenshot