- 【影视】 Dr Joe Dispenza - 30 minute Meditation Neural Network.mp4
- 收录时间:2020-01-31 文档个数:1 文档大小:78.7 MB 最近下载:2024-12-24 人气:20476 磁力链接
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- Hitozuma Kasumi-san 02 [uncen] 1080 [PROcoders].mkv 587.5 MB
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- Rus/Hitozuma Kasumi-san 01 [uncen] 1080 [PROcoders] [VashMax2].mka 39.5 MB
- Rus/Hitozuma Kasumi-san 02 [uncen] 1080 [PROcoders] [Viki_&_E-Rotic].mka 38.4 MB
- Rus/Hitozuma Kasumi-san 02 [uncen] 1080 [PROcoders] [VashMax2].mka 38.3 MB
- Rus/Hitozuma Kasumi-san 02 [uncen] 1080 [PROcoders] [AnKa].srt 29.4 kB
- Eng/Hitozuma Kasumi-san 02 [uncen] 1080 [PROcoders].ass 28.8 kB
- Eng/Hitozuma Kasumi-san 01 [uncen] 1080 [PROcoders].ass 25.8 kB
- Rus/Hitozuma Kasumi-san 01 [uncen] 1080 [PROcoders] [AnKa].srt 20.0 kB
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- 【影视】 Udemy - Neural Networks made easy with Matlab
- 收录时间:2020-02-09 文档个数:23 文档大小:317.9 MB 最近下载:2024-12-24 人气:15395 磁力链接
- 6- Chapter 6/23- Comparison of different training algorithms.mp4 38.0 MB
- 3- Chapter 3/10- Neuron Model.mp4 24.9 MB
- 2- Chapter 2/9- Training style.mp4 24.9 MB
- 1- Chapter 1/4- Pattern Recognition.mp4 18.9 MB
- 5- Chapter 5/19- Faster training-numerical optimization techniques.mp4 18.5 MB
- 4- Chapter 4/14- Linear filters and linear classification.mp4 16.0 MB
- 5- Chapter 5/18- Faster learning Heuristic algorithm.mp4 14.2 MB
- 5- Chapter 5/16- Back Propagation Architecture.mp4 13.6 MB
- 3- Chapter 3/11- Perceptron networks.mp4 13.5 MB
- 5- Chapter 5/20- Numerical techniques Quasi newton.mp4 12.8 MB
- 5- Chapter 5/15- Introduction to Training Process.mp4 12.6 MB
- 1- Chapter 1/3- Function Fitting.mp4 12.6 MB
- 2- Chapter 2/6- Simple Neuron.mp4 12.5 MB
- 2- Chapter 2/8- Data structure.mp4 12.3 MB
- 3- Chapter 3/12- GUI nntool.mp4 12.2 MB
- 5- Chapter 5/21- Numerical techniques Levenberg Marquart.mp4 12.0 MB
- 1- Chapter 1/5- Data Clustering.mp4 11.6 MB
- 4- Chapter 4/13- Network architecture.mp4 8.8 MB
- 5- Chapter 5/17- Momentum.mp4 7.9 MB
- 2- Chapter 2/7- Network architecture.mp4 7.4 MB
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- 收录时间:2022-07-20 文档个数:39 文档大小:2.3 GB 最近下载:2024-12-24 人气:15249 磁力链接
- 4. Reprogramação emocional/Aula 39 - Protocolo “Naves” para auto-hipnose em 7 passos.mp4 157.5 MB
- 4. Reprogramação emocional/Aula 34 - Reprogramando a mente com instalação de âncoras.mp4 151.7 MB
- 4. Reprogramação emocional/Aula 33 - Como criar auto-sugestões e fraseologias hipnóticas.mp4 126.0 MB
- 4. Reprogramação emocional/Aula 35 - Visualizações com Submodalidades.mp4 124.5 MB
- 2. Técnicas especiais/Aula 16 - Indução Yogananda.mp4 112.5 MB
- 2. Técnicas especiais/Aula 17 - Meditação Mindfulness.mp4 102.7 MB
- 4. Reprogramação emocional/Aula 38 - Auto-swish.mp4 96.9 MB
- 4. Reprogramação emocional/Aula 31 - O Poder do agora (Eckhart Tolle).mp4 85.2 MB
- 4. Reprogramação emocional/Aula 36 - Como entrar no estado de recursos emocionais ideal.mp4 81.9 MB
- 2. Técnicas especiais/Aula 15 - Movimentos Ideomotores.mp4 81.4 MB
- 3. Auto indução/Aula 27 - Auto-indução Betty Erickson.mp4 81.3 MB
- 1. Bases da auto-hipnose/Aula 12 - Auto indução 1 (fixação ocular e suas variações).mp4 78.9 MB
- 4. Reprogramação emocional/Aula 37 - Controle de dor com auto-hipnose.mp4 75.0 MB
- 2. Técnicas especiais/Aula 14 - Catalepsia.mp4 67.8 MB
- 3. Auto indução/Aula 26 - Auto-indução Dave Elman.mp4 65.9 MB
- 3. Auto indução/Aula 28 - Instalando o signo sinal.mp4 60.5 MB
- 1. Bases da auto-hipnose/Aula 11 - Músicas para auto-hipnose.mp4 57.4 MB
- 3. Auto indução/Aula 25 - Auto-indução Lucas Naves.mp4 56.6 MB
- 4. Reprogramação emocional/Aula 29 - Como definir objetivos para auto-hipnose.mp4 56.0 MB
- 1. Bases da auto-hipnose/Aula 13 - Aprofundamento com Metáforas.mp4 51.5 MB
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- 【影视】 [FreeCoursesOnline.Me] Coursera - Neural Networks and Deep Learning
- 收录时间:2020-03-08 文档个数:95 文档大小:920.8 MB 最近下载:2024-12-21 人气:10754 磁力链接
- 003.Heroes of Deep Learning (Optional)/007. Geoffrey Hinton interview.mp4 201.1 MB
- 006.Heroes of Deep Learning (Optional)/026. Pieter Abbeel interview.mp4 83.9 MB
- 008.Heroes of Deep Learning (Optional)/038. Ian Goodfellow interview.mp4 57.2 MB
- 007.Shallow Neural Network/036. Backpropagation intuition (optional).mp4 27.3 MB
- 004.Logistic Regression as a Neural Network/015. Derivatives with a Computation Graph.mp4 22.7 MB
- 007.Shallow Neural Network/032. Activation functions.mp4 20.9 MB
- 009.Deep Neural Network/044. Forward and Backward Propagation.mp4 20.8 MB
- 002.Introduction to Deep Learning/004. Why is Deep Learning taking off.mp4 19.6 MB
- 009.Deep Neural Network/042. Why deep representations.mp4 18.4 MB
- 009.Deep Neural Network/041. Getting your matrix dimensions right.mp4 18.2 MB
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- 004.Logistic Regression as a Neural Network/013. More Derivative Examples.mp4 17.6 MB
- 007.Shallow Neural Network/029. Computing a Neural Network's Output.mp4 17.1 MB
- 005.Python and Vectorization/022. Broadcasting in Python.mp4 17.0 MB
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- 005.Python and Vectorization/021. Vectorizing Logistic Regression's Gradient Output.mp4 16.3 MB
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- 007.Shallow Neural Network/030. Vectorizing across multiple examples.mp4 14.5 MB
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- 收录时间:2022-05-20 文档个数:125 文档大小:362.4 MB 最近下载:2024-12-24 人气:9205 磁力链接
- 05. Applying the Machine Learning Workflow with TensorFlow/6. Training the Model.mp4 16.2 MB
- 09. Deploying Your Neural Network/4. Using TensorFlow Model Serving.mp4 14.0 MB
- 05. Applying the Machine Learning Workflow with TensorFlow/4. Preparing the Data.mp4 13.7 MB
- 07. Building and Training Your First Neural Network/2. Getting and Preparing the Data.mp4 11.3 MB
- 08. Monitoring and Improving Neural Network Performance/2. TensorBoard Setup.mp4 11.0 MB
- 08. Monitoring and Improving Neural Network Performance/4. Reducing Training Data Overfitting.mp4 10.6 MB
- 05. Applying the Machine Learning Workflow with TensorFlow/1. Setting up the Example.mp4 10.5 MB
- 06. Understanding Neural Networks/4. Activation Functions.mp4 9.4 MB
- 08. Monitoring and Improving Neural Network Performance/3. Monitoring Your Trained Model’s Performance.mp4 9.4 MB
- 03. Setting up the TensorFlow Environment/5. Sequencing Code Execution.mp4 9.3 MB
- 07. Building and Training Your First Neural Network/4. Demo - Creating the Model.mp4 9.2 MB
- 05. Applying the Machine Learning Workflow with TensorFlow/5. Creating the Model.mp4 8.8 MB
- 08. Monitoring and Improving Neural Network Performance/6. Early Stopping.mp4 8.7 MB
- 05. Applying the Machine Learning Workflow with TensorFlow/2. Defining the Problem and Getting Data.mp4 8.6 MB
- 06. Understanding Neural Networks/6. Predicting with an Untrained Neural Network.mp4 8.3 MB
- 06. Understanding Neural Networks/7. Training a Neural Network.mp4 8.3 MB
- 05. Applying the Machine Learning Workflow with TensorFlow/7. Improving Performance.mp4 8.0 MB
- 07. Building and Training Your First Neural Network/1. Building a Neural Network in TensorFlow.mp4 7.9 MB
- 05. Applying the Machine Learning Workflow with TensorFlow/3. Exploring the Data.mp4 7.9 MB
- 07. Building and Training Your First Neural Network/3. Creating the Model.mp4 7.8 MB
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- [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/04 Deep Neural Networks and Deep Learning Basics/038 Introduction to Artificial Neural Networks.mp4 93.4 MB
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- [TutsNode.com] - Deep Learning ANN Artificial Neural Networks with Python/02 Introduction to Machine Learning/013 Model Training, Cost, Error, Loss, Risk and Accuracy.mp4 88.6 MB
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- 11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
- 13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
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- 15. Add-on 1 Data Preprocessing/12. Bi-variate analysis and Variable transformation.mp4 105.3 MB
- 16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
- 12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
- 3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
- 10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
- 10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
- 15. Add-on 1 Data Preprocessing/17. Correlation Analysis.mp4 75.1 MB
- 15. Add-on 1 Data Preprocessing/8. Outlier Treatment in Python.mp4 73.6 MB
- 10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
- 16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
- 15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
- 2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
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- 16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
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- 15. Add-on 1 Data Preprocessing/6. EDD in Python.mp4 64.8 MB
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- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/027 Confusion matrix and visualizing it with Tensorboard.mp4 114.8 MB
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- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/028 Using Tensorboard to tune hyperparameters.mp4 86.9 MB
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- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/008 CNNs motivation.mp4 64.3 MB
- [TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/039 Primary classification task - Part 2.mp4 63.5 MB
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- 收录时间:2020-02-10 文档个数:1 文档大小:2.0 GB 最近下载:2024-12-18 人气:5992 磁力链接
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- 收录时间:2020-01-30 文档个数:243 文档大小:964.3 MB 最近下载:2024-12-24 人气:5951 磁力链接
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- 1101 Hopfield Nets.mp4 15.4 MB
- 0401 Learning to predict the next word.mp4 15.0 MB
- 0405 Ways to deal with the large number of possible outputs.mp4 14.9 MB
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- 收录时间:2020-02-16 文档个数:155 文档大小:3.4 GB 最近下载:2024-12-23 人气:5526 磁力链接
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- 1151632 - 114 - Building a Boltzmann Machine - Step 13.mp4 61.4 MB
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- 1151632 - 115 - Building a Boltzmann Machine - Step 14.mp4 56.7 MB
- 1151632 - 054 - Practical intuition.mp4 55.4 MB
- 1151632 - 133 - Building an AutoEncoder - Step 6.mp4 54.7 MB
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- 1151632 - 131 - Building an AutoEncoder - Step 4.mp4 52.0 MB
- 1151632 - 089 - Mega Case Study - Step 3.mp4 51.6 MB
- 1151632 - 047 - Building a CNN - Step 9.mp4 49.1 MB
- 1151632 - 053 - LSTMs.mp4 48.2 MB
- 1151632 - 015 - Building an ANN - Step 2.mp4 48.1 MB
- 1151632 - 034 - Step 4 - Full Connection.mp4 44.8 MB
- 1151632 - 154 - Logistic Regression Implementation - Step 5.mp4 44.5 MB
- 1151632 - 113 - Building a Boltzmann Machine - Step 12.mp4 43.6 MB
- 1151632 - 049 - Homework Solution.mp4 42.9 MB
- 1151632 - 032 - Step 2 - Pooling.mp4 42.2 MB
- 1151632 - 109 - Building a Boltzmann Machine - Step 8.mp4 41.3 MB
- 1151632 - 095 - Restricted Boltzmann Machine.mp4 41.2 MB
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- 收录时间:2024-02-26 文档个数:1 文档大小:15.7 GB 最近下载:2024-12-24 人气:5506 磁力链接
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- 【影视】 Deep Learning and Neural Networks in PyTorch for Beginners [Video]
- 收录时间:2020-03-10 文档个数:13 文档大小:390.2 MB 最近下载:2024-12-21 人气:5422 磁力链接
- 1.We got a lot to do - let's get into it!/12.12 Congratulation.mp4 89.0 MB
- 1.We got a lot to do - let's get into it!/07.7 A deep Neural Network in Pytorch 5.mp4 51.1 MB
- 1.We got a lot to do - let's get into it!/06.6 linear regression in pytorch.mp4 45.5 MB
- 1.We got a lot to do - let's get into it!/04.4 understanding gradient descent.mp4 42.0 MB
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- 1.We got a lot to do - let's get into it!/03.3 The fundamentals.mp4 18.9 MB
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- 1.We got a lot to do - let's get into it!/01.1 Why taking this course Because....mp4 11.1 MB
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- 【影视】 [ FreeCourseWeb.com ] Udemy - Graph Neural Network
- 收录时间:2022-02-04 文档个数:71 文档大小:2.1 GB 最近下载:2024-12-19 人气:5363 磁力链接
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- 收录时间:2020-10-31 文档个数:68 文档大小:1.0 GB 最近下载:2024-12-20 人气:5057 磁力链接
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