Coursera - Introduction to Machine Learning 2024-3 - 磁力管家 - 男人都爱上的磁力连接搜索引擎

BT种子名称

分享给好友

BT种子基本信息

种子哈希：b46c7aaeb5fa99253ab6e5b6f0cd9ec5613cd2b1
文档大小：1.5 GB
文档个数：280个文档
下载次数：798次
下载速度：极快
收录时间：2024-06-23
最近下载：2025-05-16
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:B46C7AAEB5FA99253AB6E5B6F0CD9EC5613CD2B1
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码迅雷看看
磁力链接在线播放？试试百度云网盘离线下载播放！

Coursera - Introduction to Machine Learning 2024-3的二维码

文档列表

04_recurrent-neural-networks-for-natural-language-processing/04_alternative-approaches/01_simple-and-effective-alternative-methods-for-neural-nlp.mp4 47.6 MB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/03_example-of-word-embeddings.mp4 47.5 MB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/03_example-of-reinforcement-learning-in-practice.mp4 46.2 MB
02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.mp4 43.0 MB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/02_long-short-term-memory.mp4 40.2 MB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/01_neural-model-of-text.mp4 39.1 MB
06_introduction-to-reinforcement-learning/02_q-learning/03_extensions-of-q-learning.mp4 35.1 MB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/03_self-attention-and-positional-encodings.mp4 34.9 MB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/02_reinforcement-learning-problem-setup.mp4 32.5 MB
06_introduction-to-reinforcement-learning/03_deep-q-learning/02_deep-q-learning-based-on-images.mp4 30.7 MB
02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data.mp4 29.7 MB
05_the-transformer-network-for-natural-language-processing/04_the-transformer-network/02_the-complete-transformer-network.mp4 29.3 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/02_applications-in-use-and-practice.mp4 28.8 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks.mp4 28.7 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images.mp4 26.8 MB
02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks.mp4 26.8 MB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/02_coupling-the-sequence-encoder-and-decoder.mp4 26.0 MB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/03_long-short-term-memory-review.mp4 25.8 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/03_deep-learning-and-transfer-learning.mp4 24.4 MB
06_introduction-to-reinforcement-learning/03_deep-q-learning/03_connecting-deep-q-learning-with-conventional-q-learning.mp4 23.2 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/09_model-selection.mp4 23.2 MB
06_introduction-to-reinforcement-learning/02_q-learning/01_moving-to-a-non-myopic-policy.mp4 22.9 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/05_logistic-regression.mp4 22.8 MB
06_introduction-to-reinforcement-learning/03_deep-q-learning/01_limitations-of-q-learning-and-introduction-to-deep-q-learning.mp4 22.3 MB
06_introduction-to-reinforcement-learning/02_q-learning/02_q-learning.mp4 22.1 MB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/01_introduction-of-attention-mechanism.mp4 21.9 MB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/04_more-details-on-how-to-learn-model-parameters.mp4 21.8 MB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/01_attention-based-sequence-encoder.mp4 21.7 MB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/04_use-of-lstm-for-text-synthesis.mp4 20.9 MB
05_the-transformer-network-for-natural-language-processing/04_the-transformer-network/01_multi-head-attention.mp4 20.6 MB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/02_words-to-vectors.mp4 20.3 MB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/01_the-recurrent-neural-network.mp4 20.2 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/06_interpretation-of-logistic-regression.mp4 20.2 MB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/01_motivation-diabetic-retinopathy.mp4 19.6 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/04_deep-learning.mp4 19.5 MB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/02_the-softmax-function.mp4 19.4 MB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/01_introduction-to-reinforcement-learning.mp4 19.4 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/06_how-the-model-learns.mp4 19.0 MB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/03_methods-for-learning-model-parameters.mp4 18.9 MB
02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network.mp4 18.9 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning.mp4 18.5 MB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/01_introduction-to-the-concept-of-word-vectors.mp4 18.0 MB
05_the-transformer-network-for-natural-language-processing/01_inner-products/04_intuition-into-meaning-of-inner-products-of-word-vectors.mp4 17.4 MB
01_simple-introduction-to-machine-learning/05_pytorch-basics/01_introduction-to-pytorch.mp4 17.1 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/06_interpretation-of-multilayer-perceptron.mp4 17.0 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/01_hierarchical-structure-of-images.mp4 15.7 MB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/02_queries-keys-and-values-of-attention-network.mp4 15.4 MB
05_the-transformer-network-for-natural-language-processing/01_inner-products/01_word-vectors-and-their-interpretation.mp4 15.0 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters.mp4 14.8 MB
05_the-transformer-network-for-natural-language-processing/01_inner-products/03_inner-products-between-word-vectors.mp4 14.3 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/02_why-machine-learning-is-exciting.mp4 14.3 MB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/02_breakdown-of-the-convolution-1d-and-2d.mp4 13.4 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/03_what-is-machine-learning.mp4 13.2 MB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/01_core-components-of-the-convolutional-layer.mp4 12.9 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/07_advantages-of-hierarchical-features.mp4 12.9 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/02_multilayer-perceptron-math-model.mp4 12.8 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/01_multilayer-perceptron-concepts.mp4 12.6 MB
05_the-transformer-network-for-natural-language-processing/01_inner-products/02_relationships-between-word-vectors.mp4 10.5 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/05_example-document-analysis.mp4 10.0 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/08_motivation-for-multilayer-perceptron.mp4 9.9 MB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/01_training-the-network.mp4 9.7 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/05_cnn-math-model.mp4 9.3 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/03_convolutional-neural-network.mp4 8.9 MB
02_basics-of-model-learning/02_learning-via-gradient-descent/03_early-stopping.mp4 8.6 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/03_deep-learning-and-transfer-learning_1.4.3_Deep_Learning_and_Transfer_Learning.pdf 7.8 MB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/03_cross-attention-in-the-sequence-to-sequence-model.mp4 7.5 MB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/02_transfer-learning-and-fine-tuning.mp4 7.4 MB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/03_pooling-and-fully-connected-layers.mp4 7.0 MB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/02_activation-functions.mp4 6.7 MB
02_basics-of-model-learning/03_model-learning-with-pytorch/02_model-learning-with-pytorch.mp4 6.0 MB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/05_reinforcement-learning-with-pytorch.mp4 5.4 MB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/02_transfer-learning-and-fine-tuning_3.3.20_Transfer_Learning_and_Fine-Tuning.pdf 5.3 MB
04_recurrent-neural-networks-for-natural-language-processing/05_natural-language-processing-with-pytorch/01_natural-language-processing-with-pytorch.mp4 4.4 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/03_what-is-machine-learning_1.1.15_What_is_Machine_Learning.pdf 4.3 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/02_applications-in-use-and-practice_1.4.2_Applicatrions_in_use_and_practice.pdf 4.1 MB
03_image-analysis-with-convolutional-neural-networks/04_convolutional-neural-networks-with-pytorch/02_cnn-with-pytorch.mp4 3.9 MB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images_1.4.1_CNN_on_Real_Images.pdf 3.7 MB
02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data_2.2.20_How_do_we_handle_big_data.pdf 3.1 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/09_model-selection_1.2.7__Model_Selection.pdf 3.0 MB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/01_core-components-of-the-convolutional-layer_3.2.10_Core_Components_of_the_Convolutional_Layer.pdf 3.0 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/04_deep-learning_1.2.3_Deep_Learning.pdf 2.8 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/01_multilayer-perceptron-concepts_1.2.1_Multilayer_Perceptron_concepts.pdf 2.7 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/08_motivation-for-multilayer-perceptron_1.1.40_Motivation_for_Multilayer_Perceptron.pdf 2.7 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/05_logistic-regression_1.1.20_Logistic_Regression.pdf 2.7 MB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/01_neural-model-of-text_4.2.1_Neural_model_of_text.pdf 2.6 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/07_advantages-of-hierarchical-features_1.3.6_Advantages_of_Hierarchical_Features.pdf 2.6 MB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/02_activation-functions_3.2.30_Activations_Functions.pdf 2.5 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks_1.2.8_Early_History_of_Neural_Netorks.pdf 2.5 MB
02_basics-of-model-learning/02_learning-via-gradient-descent/03_early-stopping_2.2.30_Early_Stopping.pdf 2.5 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/02_why-machine-learning-is-exciting_1.1.10_Why_Machine_Learning_is_Exciting.pdf 2.4 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters_1.3.2_Convolution_filter.pdf 2.1 MB
01_simple-introduction-to-machine-learning/01_logistic-regression/06_interpretation-of-logistic-regression_1.1.30_Interpretatiof_Logistic_Regression.pdf 2.0 MB
02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks_2.1.20_How_do_we_evaluate_our_networkds.pdf 1.8 MB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/01_motivation-diabetic-retinopathy_3.1.10_Motivation_Diabetic_Retinopathy.pdf 1.7 MB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/02_breakdown-of-the-convolution-1d-and-2d_3.1.20_Breakdown_of_the_Convolution_1D_and_2D.pdf 1.6 MB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/02_words-to-vectors_4.1.2_Words_to_Vectors.pdf 1.6 MB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/01_introduction-to-the-concept-of-word-vectors_4.1.1_Introduction_to_the_Concept_of_Word_Vectors.pdf 1.5 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/01_hierarchical-structure-of-images_1.3.1_Hierarchical_Structure_of_Images.pdf 1.4 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/05_cnn-math-model_1.3.4_Convolutional_Neural_Network__Math_Model.pdf 1.2 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/02_multilayer-perceptron-math-model_1.2.2_Multilayer_Perceptron_Math_Model.pdf 1.1 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/06_interpretation-of-multilayer-perceptron_1.2.5_Interpretation_of_Multilayer_Perceptron.pdf 1.1 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning_1.2.6_Transfer_Learning.pdf 1.1 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/03_convolutional-neural-network_1.3.3_Convolutional_Neural_Network.pdf 1.1 MB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/03_pooling-and-fully-connected-layers_3.2.40_Pooling_and_fully_contected_layers.pdf 1.1 MB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/06_how-the-model-learns_1.3.5_How_the_Model_Learns.pdf 1.1 MB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/01_training-the-network_3.3.10_Training_the_Network.pdf 1.0 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/05_example-document-analysis_1.2.4_Example_Document_Analysis.pdf 1.0 MB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/10_model-selection_quiz.html 208.8 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/05_week-1-comprehensive_exam.html 199.7 kB
06_introduction-to-reinforcement-learning/02_q-learning/04_q-learning-quiz_quiz.html 190.4 kB
02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning_2.1.10_How_do_we_define_learning.pdf 110.4 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/09_logistic-regression_quiz.html 107.1 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/04_reinforcement-learning-quiz_quiz.html 93.5 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network_2.2.10_How_do_we_learn_our_network.pdf 87.0 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/03_example-of-reinforcement-learning-in-practice.en.srt 28.1 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/02_long-short-term-memory.en.srt 25.5 kB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/03_self-attention-and-positional-encodings.en.srt 24.8 kB
02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks.en.srt 21.1 kB
06_introduction-to-reinforcement-learning/03_deep-q-learning/01_limitations-of-q-learning-and-introduction-to-deep-q-learning.en.srt 20.3 kB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/02_coupling-the-sequence-encoder-and-decoder.en.srt 19.7 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks.en.srt 18.8 kB
04_recurrent-neural-networks-for-natural-language-processing/04_alternative-approaches/01_simple-and-effective-alternative-methods-for-neural-nlp.en.srt 18.6 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data.en.srt 16.8 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/01_neural-model-of-text.en.srt 16.4 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/04_intuition-into-meaning-of-inner-products-of-word-vectors.en.srt 16.2 kB
05_the-transformer-network-for-natural-language-processing/04_the-transformer-network/02_the-complete-transformer-network.en.srt 16.1 kB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/03_self-attention-and-positional-encodings.en.txt 15.7 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/02_long-short-term-memory.en.txt 15.2 kB
06_introduction-to-reinforcement-learning/03_deep-q-learning/03_connecting-deep-q-learning-with-conventional-q-learning.en.srt 15.2 kB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/01_attention-based-sequence-encoder.en.srt 15.0 kB
02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.en.srt 14.8 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/01_the-recurrent-neural-network.en.srt 14.7 kB
06_introduction-to-reinforcement-learning/02_q-learning/01_moving-to-a-non-myopic-policy.en.srt 14.7 kB
06_introduction-to-reinforcement-learning/02_q-learning/03_extensions-of-q-learning.en.srt 14.7 kB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/01_introduction-of-attention-mechanism.en.srt 14.6 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/03_example-of-reinforcement-learning-in-practice.en.txt 14.5 kB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/03_example-of-word-embeddings.en.srt 14.4 kB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/01_motivation-diabetic-retinopathy.en.srt 14.4 kB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/02_breakdown-of-the-convolution-1d-and-2d.en.srt 13.8 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/01_introduction-to-reinforcement-learning.en.srt 12.9 kB
02_basics-of-model-learning/01_logistic-regression-as-running-example/02_how-do-we-evaluate-our-networks.en.txt 12.7 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/03_methods-for-learning-model-parameters.en.srt 12.7 kB
06_introduction-to-reinforcement-learning/02_q-learning/02_q-learning.en.srt 12.6 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/02_applications-in-use-and-practice.en.srt 12.6 kB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/02_coupling-the-sequence-encoder-and-decoder.en.txt 12.5 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/03_long-short-term-memory-review.en.srt 12.0 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/04_use-of-lstm-for-text-synthesis.en.srt 11.8 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/03_inner-products-between-word-vectors.en.srt 11.7 kB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/02_queries-keys-and-values-of-attention-network.en.srt 11.5 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/02_reinforcement-learning-problem-setup.en.srt 11.4 kB
04_recurrent-neural-networks-for-natural-language-processing/04_alternative-approaches/01_simple-and-effective-alternative-methods-for-neural-nlp.en.txt 11.4 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/11_early-history-of-neural-networks.en.txt 11.3 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network.en.srt 11.3 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/05_logistic-regression.en.srt 11.2 kB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/01_core-components-of-the-convolutional-layer.en.srt 11.1 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/06_interpretation-of-logistic-regression.en.srt 11.0 kB
05_the-transformer-network-for-natural-language-processing/04_the-transformer-network/01_multi-head-attention.en.srt 11.0 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters.en.srt 11.0 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/06_how-the-model-learns.en.srt 10.7 kB
06_introduction-to-reinforcement-learning/03_deep-q-learning/01_limitations-of-q-learning-and-introduction-to-deep-q-learning.en.txt 10.7 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/06_interpretation-of-multilayer-perceptron.en.srt 10.6 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/02_how-do-we-handle-big-data.en.txt 10.3 kB
06_introduction-to-reinforcement-learning/03_deep-q-learning/02_deep-q-learning-based-on-images.en.srt 10.2 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/01_neural-model-of-text.en.txt 10.2 kB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/01_introduction-to-the-concept-of-word-vectors.en.srt 10.2 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images.en.srt 10.2 kB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/01_training-the-network.en.srt 9.7 kB
02_basics-of-model-learning/03_model-learning-with-pytorch/01_week-2-comprehensive_exam.html 9.4 kB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/01_attention-based-sequence-encoder.en.txt 9.3 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/01_the-recurrent-neural-network.en.txt 9.3 kB
03_image-analysis-with-convolutional-neural-networks/04_convolutional-neural-networks-with-pytorch/01_week-3-comprehensive_exam.html 9.3 kB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/02_words-to-vectors.en.srt 9.2 kB
02_basics-of-model-learning/01_logistic-regression-as-running-example/01_how-do-we-define-learning.en.txt 9.1 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/09_model-selection.en.srt 9.1 kB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/01_motivation-diabetic-retinopathy.en.txt 8.9 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/04_more-details-on-how-to-learn-model-parameters.en.srt 8.8 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/05_cnn-math-model.en.srt 8.7 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/01_word-vectors-and-their-interpretation.en.srt 8.7 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/02_the-softmax-function.en.srt 8.6 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/03_deep-learning-and-transfer-learning.en.srt 8.6 kB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/03_example-of-word-embeddings.en.txt 8.5 kB
04_recurrent-neural-networks-for-natural-language-processing/04_alternative-approaches/02_week-4-comprehensive_exam.html 8.5 kB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/02_breakdown-of-the-convolution-1d-and-2d.en.txt 8.5 kB
05_the-transformer-network-for-natural-language-processing/04_the-transformer-network/02_the-complete-transformer-network.en.txt 8.4 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/04_intuition-into-meaning-of-inner-products-of-word-vectors.en.txt 8.4 kB
06_introduction-to-reinforcement-learning/03_deep-q-learning/03_connecting-deep-q-learning-with-conventional-q-learning.en.txt 8.0 kB
06_introduction-to-reinforcement-learning/02_q-learning/02_q-learning.en.txt 7.8 kB
06_introduction-to-reinforcement-learning/02_q-learning/01_moving-to-a-non-myopic-policy.en.txt 7.7 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/03_methods-for-learning-model-parameters.en.txt 7.7 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/02_applications-in-use-and-practice.en.txt 7.6 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/02_relationships-between-word-vectors.en.srt 7.6 kB
06_introduction-to-reinforcement-learning/02_q-learning/03_extensions-of-q-learning.en.txt 7.6 kB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/01_introduction-of-attention-mechanism.en.txt 7.6 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/03_long-short-term-memory-review.en.txt 7.5 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/01_hierarchical-structure-of-images.en.srt 7.4 kB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/02_activation-functions.en.srt 7.3 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/04_deep-learning.en.srt 7.3 kB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/01_core-components-of-the-convolutional-layer.en.txt 7.2 kB
05_the-transformer-network-for-natural-language-processing/02_attention-mechanism/02_queries-keys-and-values-of-attention-network.en.txt 7.2 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/03_what-is-machine-learning.en.srt 7.2 kB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/03_pooling-and-fully-connected-layers.en.srt 7.1 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/06_interpretation-of-logistic-regression.en.txt 7.0 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/04_use-of-lstm-for-text-synthesis.en.txt 7.0 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/05_logistic-regression.en.txt 6.9 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/01_how-do-we-learn-our-network.en.txt 6.8 kB
05_the-transformer-network-for-natural-language-processing/04_the-transformer-network/01_multi-head-attention.en.txt 6.7 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/01_introduction-to-reinforcement-learning.en.txt 6.7 kB
06_introduction-to-reinforcement-learning/03_deep-q-learning/02_deep-q-learning-based-on-images.en.txt 6.6 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/02_multilayer-perceptron-math-model.en.srt 6.6 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/02_convolution-filters.en.txt 6.6 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning.en.srt 6.5 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/01_cnn-on-real-images.en.txt 6.4 kB
01_simple-introduction-to-machine-learning/05_pytorch-basics/01_introduction-to-pytorch.en.srt 6.4 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/06_interpretation-of-multilayer-perceptron.en.txt 6.4 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/02_why-machine-learning-is-exciting.en.srt 6.4 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/06_how-the-model-learns.en.txt 6.4 kB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/02_transfer-learning-and-fine-tuning.en.srt 6.3 kB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/01_introduction-to-the-concept-of-word-vectors.en.txt 6.3 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/01_multilayer-perceptron-concepts.en.srt 6.3 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/03_inner-products-between-word-vectors.en.txt 6.2 kB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/01_training-the-network.en.txt 6.0 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/02_reinforcement-learning-problem-setup.en.txt 6.0 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/03_multilayer-perceptron_quiz.html 6.0 kB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/02_words-to-vectors.en.txt 5.8 kB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/03_cross-attention-in-the-sequence-to-sequence-model.en.srt 5.5 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/04_more-details-on-how-to-learn-model-parameters.en.txt 5.4 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/08_motivation-for-multilayer-perceptron.en.srt 5.4 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/03_deep-learning-and-transfer-learning.en.txt 5.4 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/01_word-vectors-and-their-interpretation.en.txt 5.4 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/09_model-selection.en.txt 5.4 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/07_advantages-of-hierarchical-features.en.srt 5.3 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/04_lesson-2_quiz.html 5.3 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/02_the-softmax-function.en.txt 5.2 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/05_cnn-math-model.en.txt 5.0 kB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/04_lesson-2_quiz.html 5.0 kB
02_basics-of-model-learning/01_logistic-regression-as-running-example/03_lesson-one_quiz.html 4.6 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/01_hierarchical-structure-of-images.en.txt 4.6 kB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/03_pooling-and-fully-connected-layers.en.txt 4.6 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/05_example-document-analysis.en.srt 4.6 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/03_convolutional-neural-network.en.srt 4.6 kB
03_image-analysis-with-convolutional-neural-networks/02_core-components-of-the-network/02_activation-functions.en.txt 4.5 kB
03_image-analysis-with-convolutional-neural-networks/01_convolutional-neural-network-basics/03_lesson-one_quiz.html 4.5 kB
04_recurrent-neural-networks-for-natural-language-processing/02_representative-example-nlp-problem-sentiment-analysis/05_lesson-2_quiz.html 4.5 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/03_what-is-machine-learning.en.txt 4.5 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/04_deep-learning.en.txt 4.4 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/03_early-stopping.en.srt 4.4 kB
04_recurrent-neural-networks-for-natural-language-processing/03_recurrent-neural-networks-and-long-short-term-memory/05_lesson-3_quiz.html 4.2 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/02_multilayer-perceptron-math-model.en.txt 4.1 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/07_transfer-learning.en.txt 4.1 kB
05_the-transformer-network-for-natural-language-processing/01_inner-products/02_relationships-between-word-vectors.en.txt 4.0 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/02_why-machine-learning-is-exciting.en.txt 4.0 kB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/02_transfer-learning-and-fine-tuning.en.txt 3.9 kB
04_recurrent-neural-networks-for-natural-language-processing/01_word-embeddings/04_lesson-1_quiz.html 3.9 kB
03_image-analysis-with-convolutional-neural-networks/03_cnn-implementation/03_lesson-3_quiz.html 3.8 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/01_multilayer-perceptron-concepts.en.txt 3.8 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/08_cnn-math-model_quiz.html 3.6 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/08_deep-learning_quiz.html 3.5 kB
01_simple-introduction-to-machine-learning/05_pytorch-basics/01_introduction-to-pytorch.en.txt 3.5 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/12_history-of-neural-networks_quiz.html 3.4 kB
05_the-transformer-network-for-natural-language-processing/03_sequence-to-sequence-encoder-and-decoder/03_cross-attention-in-the-sequence-to-sequence-model.en.txt 3.4 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/01_course-information_instructions.html 3.4 kB
01_simple-introduction-to-machine-learning/04_applications-in-the-real-world/04_applications-in-use-and-practice_quiz.html 3.2 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/07_advantages-of-hierarchical-features.en.txt 3.2 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/08_motivation-for-multilayer-perceptron.en.txt 3.2 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/04_cnn-concepts_quiz.html 3.1 kB
06_introduction-to-reinforcement-learning/03_deep-q-learning/04_deep-q-learning-quiz_quiz.html 3.1 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/04_intro-to-machine-learning_quiz.html 3.0 kB
01_simple-introduction-to-machine-learning/03_convolutional-neural-networks/03_convolutional-neural-network.en.txt 2.9 kB
02_basics-of-model-learning/02_learning-via-gradient-descent/03_early-stopping.en.txt 2.9 kB
01_simple-introduction-to-machine-learning/02_multilayer-perceptron/05_example-document-analysis.en.txt 2.8 kB
02_basics-of-model-learning/03_model-learning-with-pytorch/02_model-learning-with-pytorch.en.srt 2.0 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/05_reinforcement-learning-with-pytorch.en.srt 1.7 kB
04_recurrent-neural-networks-for-natural-language-processing/05_natural-language-processing-with-pytorch/01_natural-language-processing-with-pytorch.en.srt 1.5 kB
01_simple-introduction-to-machine-learning/01_logistic-regression/07_math-for-data-science_instructions.html 1.4 kB
03_image-analysis-with-convolutional-neural-networks/04_convolutional-neural-networks-with-pytorch/02_cnn-with-pytorch.en.srt 1.4 kB
02_basics-of-model-learning/03_model-learning-with-pytorch/02_model-learning-with-pytorch.en.txt 1.1 kB
06_introduction-to-reinforcement-learning/01_reinforcement-learning/05_reinforcement-learning-with-pytorch.en.txt 919 Bytes
04_recurrent-neural-networks-for-natural-language-processing/05_natural-language-processing-with-pytorch/01_natural-language-processing-with-pytorch.en.txt 806 Bytes
03_image-analysis-with-convolutional-neural-networks/04_convolutional-neural-networks-with-pytorch/02_cnn-with-pytorch.en.txt 717 Bytes
Readme.txt 124 Bytes

==查看完整文档列表==

上一个：StreamFab v6.1.6.7 (x64) + Crack - [haxNode]314.2 MB

24小时热门磁力链接

Andor [HDTV 720p][Cap.205] 8145次下载 Cap HDTV 720p
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载 2024 WEB DL
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-EniaHD.mkv 5077次下载 WEB DL DDP5
The.Super.Cube.S01E09.1080p.iQ.WEB-DL.AAC2.0.H.264-VARYG.mkv 5040次下载 WEB DL Cube
Star.Wars.Andor.S02E05.I.Have.Friends.Everywhere.1080p.DS... 4944次下载 WEB DL Star
新桥恋人.电影港地址发布页 www.dygang.me 收藏不迷路 4365次下载 me www 发布页
Night at the Museum Battle of the Smithsonian 2009 2160p... 4161次下载 KiNGDOM WEB DL
www.UIndex.org - ... 4126次下载 www MeGusta HEVC
Palma.2.2024.WEB-DL.1080p.ExKinoRay.mkv 4000次下载 WEB DL 2.2024
Guns N' Roses - Greatest Hits Live Broadcast Collection... 3915次下载 Live Remastered Hits

本周热门磁力链接

Andor [HDTV 720p][Cap.205] 8145次下载 Cap HDTV 720p
(同人CG集) [白色絵の具 (無味ムスミ)] 友達の母が巨乳で金髪の淫乱美女でした.zip 6346次下载 zip 巨乳 CG
You.S05E02.720p.HEVC.x265-MeGusta[EZTVx.to].mkv 6221次下载 S05E02 HEVC 720p
up-mod-minecraft-play-with-friends-v1-21-80-28-... 6023次下载 982108028 mod play
the.last.of.us.s02e02.1080p.web.h264-successful... 5335次下载 web last h264
异世降临.6v电影地址发布页 www.6v123.net 收藏不迷路 5220次下载 www 发布页 6v123
Opasnaya.blizost.S01.2025.WEB-DL.1080p 5127次下载 WEB DL S01
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载 2024 WEB DL
Andor.S02E02.Sagrona.Teema.1080p.HEVC.x265-MeGu... 5100次下载 HEVC Andor mkv
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-E... 5077次下载 WEB DL DDP5

种子标签

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

磁力管家