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【压缩文件】 Udemy.Tensorflow.Guía.completa.para.Nuevo.Tensorflow
收录时间:2020-12-29 文档个数:1 文档大小:5.5 GB 最近下载:2024-10-07 人气:2329 磁力链接
  • rarUdemy.Tensorflow.Guía.completa.para.Nuevo.Tensorflow.rar 5.5 GB
【压缩文件】 [ FreeCourseWeb.com ] Oreilly - Deploying TensorFlow Models to a Web Application - Using Flask API, TensorFlowJS, and TensorFlow Serving.zip
收录时间:2021-02-02 文档个数:1 文档大小:577.8 MB 最近下载:2024-10-04 人气:3047 磁力链接
  • zip[ FreeCourseWeb.com ] Oreilly - Deploying TensorFlow Models to a Web Application - Using Flask API, TensorFlowJS, and TensorFlow Serving.zip 577.8 MB
【影视】 Tensorflow 2.0 Um Guia Completo sobre o novo TensorFlow
收录时间:2021-02-24 文档个数:128 文档大小:4.5 GB 最近下载:2024-10-08 人气:1167 磁力链接
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
  • mp414. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
  • mp47. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/12. Treinamento II.mp4 75.6 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
  • mp42. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
  • mp41. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
  • mp410. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
  • mp45. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
  • mp49. Pré-processamento de Dados com TFT (TensorFlow Transform)/5. Pipeline de Pré-processamento.mp4 63.7 MB
  • mp47. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/6. IA Trader 5.mp4 63.4 MB
【影视】 Tensorflow 2.0 Um Guia Completo sobre o novo TensorFlow
收录时间:2021-02-28 文档个数:128 文档大小:4.5 GB 最近下载:2024-10-09 人气:3963 磁力链接
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
  • mp414. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
  • mp47. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/12. Treinamento II.mp4 75.6 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
  • mp42. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
  • mp41. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
  • mp410. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
  • mp45. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
  • mp49. Pré-processamento de Dados com TFT (TensorFlow Transform)/5. Pipeline de Pré-processamento.mp4 63.7 MB
  • mp47. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/6. IA Trader 5.mp4 63.4 MB
【影视】 Tensorflow Tutorial Hands-on AI development with Tensorflow
收录时间:2021-04-23 文档个数:121 文档大小:4.3 GB 最近下载:2024-10-07 人气:11614 磁力链接
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/6. Live Projects/3. Cats vs Dogs.mp4 303.6 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/6. Live Projects/1. Fashion Clothing Recognition.mp4 164.3 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/5. Section 5/8. Facial Recognition using PCA.mp4 156.4 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/3. Section 3/4. Backpropagation.mp4 154.3 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/3. Section 3/6. Digit Classification.mp4 151.4 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/3. Linear Regression - Theory.mp4 151.1 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/1. Decision Trees - Theory.mp4 145.5 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/2. Convolution in CNN (part1).mp4 143.9 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/3. Convolution in CNN (part2).mp4 138.1 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/6. Logistic Regression - Implementation.mp4 123.0 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/4. Layers of CNN.mp4 119.4 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/1. Section 1/6. Intro to Machine Learning.mp4 117.9 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/1. Section 1/3. Graphs.mp4 117.7 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/3. Section 3/3. Complex Decision Boundaries.mp4 117.1 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/5. Section 5/7. Principal Component Analysis.mp4 115.2 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/1. Introduction.mp4 114.4 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/5. Logistic Regression - Theory.mp4 112.8 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/3. Section 3/2. Gates and Forward Propagation.mp4 109.3 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/4. Linear Regression - Implementation.mp4 109.1 MB
  • mp4[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/5. Section 5/2. K-Means Algorithm (Part 2).mp4 108.2 MB
【影视】 [CourseRecap.Com] - Tensorflow Tutorial Hands-on AI development with Tensorflow
收录时间:2022-04-13 文档个数:84 文档大小:4.2 GB 最近下载:2023-03-28 人气:26 磁力链接
  • mp46. Live Projects/3. Cats vs Dogs.mp4 303.6 MB
  • mp46. Live Projects/1. Fashion Clothing Recognition.mp4 164.3 MB
  • mp45. Section 5/8. Facial Recognition using PCA.mp4 156.4 MB
  • mp43. Section 3/4. Backpropagation.mp4 154.3 MB
  • mp43. Section 3/6. Digit Classification.mp4 151.4 MB
  • mp42. Section 2/3. Linear Regression - Theory.mp4 151.1 MB
  • mp42. Section 2/1. Decision Trees - Theory.mp4 145.5 MB
  • mp44. Section 4/2. Convolution in CNN (part1).mp4 143.9 MB
  • mp44. Section 4/3. Convolution in CNN (part2).mp4 138.1 MB
  • mp42. Section 2/6. Logistic Regression - Implementation.mp4 123.0 MB
  • mp44. Section 4/4. Layers of CNN.mp4 119.4 MB
  • mp41. Section 1/6. Intro to Machine Learning.mp4 117.9 MB
  • mp41. Section 1/3. Graphs.mp4 117.7 MB
  • mp43. Section 3/3. Complex Decision Boundaries.mp4 117.1 MB
  • mp45. Section 5/7. Principal Component Analysis.mp4 115.2 MB
  • mp44. Section 4/1. Introduction.mp4 114.4 MB
  • mp42. Section 2/5. Logistic Regression - Theory.mp4 112.8 MB
  • mp43. Section 3/2. Gates and Forward Propagation.mp4 109.3 MB
  • mp42. Section 2/4. Linear Regression - Implementation.mp4 109.1 MB
  • mp45. Section 5/2. K-Means Algorithm (Part 2).mp4 108.2 MB
【影视】 Tensorflow 2.0 Um Guia Completo sobre o novo TensorFlow
收录时间:2023-04-14 文档个数:128 文档大小:4.5 GB 最近下载:2024-07-25 人气:760 磁力链接
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
  • mp414. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
  • mp47. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/12. Treinamento II.mp4 75.6 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
  • mp42. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
  • mp41. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
  • mp416. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
  • mp410. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
  • mp417. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
  • mp45. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
  • mp415. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
  • mp49. Pré-processamento de Dados com TFT (TensorFlow Transform)/5. Pipeline de Pré-processamento.mp4 63.7 MB
  • mp47. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/6. IA Trader 5.mp4 63.4 MB
【影视】 [FreeCoursesOnline.Me] PacktPub - Master Deep Learning with TensorFlow 2.0 in Python [2019] [Video]
收录时间:2020-01-23 文档个数:89 文档大小:2.5 GB 最近下载:2024-10-09 人气:7172 磁力链接
  • mp401.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
  • mp406.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
  • mp402.Introduction to neural networks/0212.N-parameter gradient descent.mp4 60.4 MB
  • mp402.Introduction to neural networks/0211.One parameter gradient descent.mp4 59.1 MB
  • mp406.Going deeper Introduction to deep neural networks/0607.Backpropagation.mp4 55.3 MB
  • mp403.Setting up the working environment/0306.Installing TensorFlow 2.mp4 53.7 MB
  • mp402.Introduction to neural networks/0201.Introduction to neural networks.mp4 48.0 MB
  • mp412.Business case/1204.Preprocessing the data.mp4 46.7 MB
  • mp402.Introduction to neural networks/0206.The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
  • mp405.TensorFlow - An introduction/0501.TensorFlow outline.mp4 44.0 MB
  • mp402.Introduction to neural networks/0203.Types of machine learning.mp4 42.8 MB
  • mp410.Preprocessing/1003.Standardization.mp4 42.3 MB
  • mp413.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
  • mp401.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
  • mp413.Conclusion/1301.See how much you have learned.mp4 40.8 MB
  • mp406.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
  • mp406.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
  • mp405.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
  • mp407.Overfitting/0703.Training and validation.mp4 39.3 MB
  • mp409.Gradient descent and learning rates/0904.Learning rate schedules.mp4 38.9 MB
【影视】 Accelerating TensorFlow with the Google Machine Learning Engine
收录时间:2020-01-25 文档个数:84 文档大小:356.8 MB 最近下载:2024-09-19 人气:2769 磁力链接
  • mp43.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 23.2 MB
  • mp45.5. Machine Learning with Estimators/33.Coding a DNN estimator - Part 2.mp4 17.7 MB
  • mp45.5. Machine Learning with Estimators/35.Estimator automation in practice.mp4 16.6 MB
  • mp45.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.mp4 16.1 MB
  • mp44.4. Accessing Data with Datasets/26.Reading MNIST data in code.mp4 15.1 MB
  • mp43.3. Training TensorFlow Applications/20.Using TensorBoard in practice.mp4 13.7 MB
  • mp44.4. Accessing Data with Datasets/22.Coding with datasets and iterators.mp4 12.9 MB
  • mp46.6. Deploying Estimators to the Machine Learning Engine/41.Deploying jobs to ML Engine.mp4 12.7 MB
  • mp45.5. Machine Learning with Estimators/30.Coding a simple estimator - Part 2.mp4 11.0 MB
  • mp43.3. Training TensorFlow Applications/15.Simple optimizer example.mp4 10.5 MB
  • mp43.3. Training TensorFlow Applications/14.Using optimizers.mp4 10.2 MB
  • mp42.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.mp4 9.9 MB
  • mp45.5. Machine Learning with Estimators/28.Describing data with feature columns.mp4 9.8 MB
  • mp46.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.mp4 9.5 MB
  • mp44.4. Accessing Data with Datasets/21.Datasets and iterators.mp4 9.1 MB
  • mp45.5. Machine Learning with Estimators/27.Understanding estimators.mp4 8.9 MB
  • mp46.6. Deploying Estimators to the Machine Learning Engine/37.Installing the Cloud SDK.mp4 8.8 MB
  • mp44.4. Accessing Data with Datasets/24.Creating datasets from files.mp4 8.7 MB
  • mp44.4. Accessing Data with Datasets/23.Dataset operations.mp4 8.0 MB
  • mp43.3. Training TensorFlow Applications/12.Variables and logging.mp4 7.5 MB
【文档书籍】 Шакла Нишант - Машинное обучение и TensorFlow (Библиотека программиста) - 2019.pdf
收录时间:2020-01-25 文档个数:1 文档大小:48.8 MB 最近下载:2024-10-06 人气:5160 磁力链接
  • pdfШакла Нишант - Машинное обучение и TensorFlow (Библиотека программиста) - 2019.pdf 48.8 MB
【其他】 Bonnin R. - Building Machine Learning Projects with TensorFlow - 2016
收录时间:2020-01-26 文档个数:3 文档大小:53.0 MB 最近下载:2024-10-04 人气:3010 磁力链接
  • mobiBonnin R. - Building Machine Learning Projects with TensorFlow - 2016.mobi 22.8 MB
  • epubBonnin R. - Building Machine Learning Projects with TensorFlow - 2016.epub 16.1 MB
  • pdfBonnin R. - Building Machine Learning Projects with TensorFlow - 2016.pdf 14.1 MB
【影视】 Learning TensorFlow with JavaScript
收录时间:2020-01-26 文档个数:41 文档大小:170.5 MB 最近下载:2024-10-09 人气:4866 磁力链接
  • mp43.2. TensorFlow Basics/10.Operations, or ops.mp4 15.7 MB
  • mp43.2. TensorFlow Basics/11.Model introduction.mp4 14.2 MB
  • mp42.1. Introduction and Setup/07.Initial project creation with TensorFlow.mp4 12.9 MB
  • mp43.2. TensorFlow Basics/12.Layers introduction.mp4 12.6 MB
  • mp44.3. Exploration of a Full Project/14.Exploration of the dataset.mp4 12.1 MB
  • mp43.2. TensorFlow Basics/09.Tensors and variables.mp4 12.0 MB
  • mp44.3. Exploration of a Full Project/16.Exploration of training the model.mp4 11.8 MB
  • mp44.3. Exploration of a Full Project/17.See the live example.mp4 11.6 MB
  • mp45.4. Advanced Subjects/18.Use Python-based models in JS.mp4 10.8 MB
  • mp42.1. Introduction and Setup/06.A TensorFlow demo.mp4 9.7 MB
  • mp45.4. Advanced Subjects/19.Convert SavedModel to web.mp4 7.8 MB
  • mp44.3. Exploration of a Full Project/15.Exploration of the models and layers.mp4 7.8 MB
  • mp43.2. TensorFlow Basics/08.Your first tensor.mp4 7.0 MB
  • mp41.Introduction/01.Learning TensorFlow.mp4 5.6 MB
  • mp44.3. Exploration of a Full Project/13.Import example project.mp4 5.3 MB
  • mp42.1. Introduction and Setup/05.Introduction to machine learning.mp4 4.8 MB
  • mp42.1. Introduction and Setup/03.Introduction to TensorFlow.mp4 3.3 MB
  • mp46.Conclusion/20.Next steps.mp4 1.9 MB
  • mp42.1. Introduction and Setup/04.Differences between versions.mp4 1.8 MB
  • mp41.Introduction/02.Course prerequisites.mp4 1.3 MB
【影视】 TensorFlow 1.x Deep Learning Recipes for Artificial Intelligence Applications [Video]
收录时间:2020-01-26 文档个数:19 文档大小:2.8 GB 最近下载:2024-10-08 人气:5773 磁力链接
  • mp41.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB
  • mp42.Applications of Recurrent Neural Networks/10.Processing Text Sequences with LSTM Networks.mp4 339.3 MB
  • mp42.Applications of Recurrent Neural Networks/08.Time Series Forecasting with RNN.mp4 327.8 MB
  • mp41.Convolutional Neural Networks for Computer Vision/04.Building an Image Classifier with CNNs.mp4 296.0 MB
  • mp42.Applications of Recurrent Neural Networks/09.Producing Word Embeddings for NLP Tasks.mp4 290.0 MB
  • mp41.Convolutional Neural Networks for Computer Vision/05.Building Better CNNs with Regularization.mp4 223.4 MB
  • mp41.Convolutional Neural Networks for Computer Vision/03.Defining Layers for Image Recognition.mp4 206.8 MB
  • mp44.Introduction to Reinforcement Learning/19.Using an Intelligent Agent.mp4 146.1 MB
  • mp42.Applications of Recurrent Neural Networks/07.The Intuition Behind RNNs.mp4 141.5 MB
  • mp41.Convolutional Neural Networks for Computer Vision/02.Installation and Setup.mp4 99.4 MB
  • mp41.Convolutional Neural Networks for Computer Vision/01.The Course Overview.mp4 81.2 MB
  • mp43.Application of Deep Learning to AI Problems/15.Building a Language Translator.mp4 55.1 MB
  • mp43.Application of Deep Learning to AI Problems/13.Creating Images with GANs.mp4 54.5 MB
  • mp43.Application of Deep Learning to AI Problems/11.Guessing Correlations from Scatter Plots.mp4 42.4 MB
  • mp44.Introduction to Reinforcement Learning/18.Training a Neural Network Policy.mp4 40.8 MB
  • mp44.Introduction to Reinforcement Learning/17.A Simple Environment and Basic Policies.mp4 27.4 MB
  • mp43.Application of Deep Learning to AI Problems/12.Introduction to Generative Adversarial Networks.mp4 16.1 MB
  • mp44.Introduction to Reinforcement Learning/16.Key Concepts in Reinforcement Learning.mp4 14.3 MB
  • mp43.Application of Deep Learning to AI Problems/14.Sequence to Sequence Models.mp4 11.4 MB
【压缩文件】 [UdemyCourseDownloader] Implementing Image Recognition Systems with TensorFlow
收录时间:2020-01-26 文档个数:32 文档大小:898.3 MB 最近下载:2024-10-04 人气:1305 磁力链接
  • ziptensorflow-image-recognition.zip 559.4 MB
  • mp413 - Demo - Predictions into Human Readable Names.mp4 35.8 MB
  • mp423 - Segementation.mp4 35.0 MB
  • mp424 - Demo - Segmentation.mp4 31.8 MB
  • mp418 - Demo - TensorFlow Hub and Retraining.mp4 31.3 MB
  • mp419 - Demo - Code Updates to Run the New Model.mp4 31.0 MB
  • mp417 - Demo - Preparing the Images.mp4 28.9 MB
  • mp427 - Demo - Using Facenet.mp4 23.6 MB
  • mp428 - Demo - Building the Classifier.mp4 20.6 MB
  • mp411 - Demo - Creating a Session and Using Tensorboard.mp4 15.1 MB
  • mp410 - Demo - Using a TensorFlow Model.mp4 11.5 MB
  • mp416 - Demo - Transfer Learning.mp4 11.1 MB
  • mp412 - Demo - Getting Predictions.mp4 9.4 MB
  • mp404 - ML and Imaging.mp4 8.3 MB
  • mp414 - Introduction.mp4 7.1 MB
  • mp403 - Some ML Imaging Basics.mp4 6.5 MB
  • mp422 - Localization.mp4 5.0 MB
  • mp402 - Introduction.mp4 4.5 MB
  • mp421 - Introduction.mp4 3.9 MB
  • mp405 - Over and Underfitting.mp4 3.0 MB
【压缩文件】 tensorflow-resnet-pretrained-20160509.tar.gz
收录时间:2020-01-27 文档个数:1 文档大小:485.6 MB 最近下载:2024-08-22 人气:6621 磁力链接
  • gztensorflow-resnet-pretrained-20160509.tar.gz 485.6 MB
【影视】 Packt Tensorflow Deep Learning Solutions for Images
收录时间:2020-01-27 文档个数:25 文档大小:225.7 MB 最近下载:2024-10-07 人气:5426 磁力链接
  • mp4video4_4.mp4 16.9 MB
  • mp4video3_8.mp4 15.6 MB
  • mp4video5_1.mp4 14.8 MB
  • mp4video5_2.mp4 14.5 MB
  • mp4video1_2.mp4 14.1 MB
  • mp4video1_5.mp4 11.3 MB
  • mp4video3_3.mp4 11.2 MB
  • mp4video3_6.mp4 9.7 MB
  • mp4video2_2.mp4 9.7 MB
  • mp4video4_3.mp4 9.4 MB
  • mp4video2_3.mp4 8.9 MB
  • mp4video2_1.mp4 8.8 MB
  • mp4video1_3.mp4 8.1 MB
  • mp4video4_2.mp4 8.0 MB
  • mp4video3_5.mp4 7.8 MB
  • mp4video1_1.mp4 7.7 MB
  • mp4video4_1.mp4 7.5 MB
  • mp4video3_4.mp4 6.9 MB
  • mp4video2_4.mp4 6.7 MB
  • mp4video5_3.mp4 6.6 MB
【其他】 Aurelien Geron - Hands On Machine Learning with Scikit-Learn and TensorFlow - 2017
收录时间:2020-01-28 文档个数:3 文档大小:51.6 MB 最近下载:2024-10-08 人气:9858 磁力链接
  • mobiAurelien Geron - Hands On Machine Learning with Scikit-Learn and TensorFlow - 2017.mobi 26.2 MB
  • pdfAurelien Geron - Hands On Machine Learning with Scikit-Learn and TensorFlow - 2017.pdf 16.6 MB
  • epubAurelien Geron - Hands On Machine Learning with Scikit-Learn and TensorFlow - 2017.epub 8.8 MB
【压缩文件】 [ FreeCourseWeb.com ] Master Deep Learning with TensorFlow 2.0 in Python.zip
收录时间:2020-01-28 文档个数:1 文档大小:1.9 GB 最近下载:2024-10-07 人气:959 磁力链接
  • zip[ FreeCourseWeb.com ] Master Deep Learning with TensorFlow 2.0 in Python.zip 1.9 GB
【其他】 O'Reilly - Hands-On Machine Learning with Scikit-Learn & TensorFlow (2017) (First Release).pea
收录时间:2020-01-28 文档个数:1 文档大小:34.1 MB 最近下载:2024-09-23 人气:267 磁力链接
  • peaO'Reilly - Hands-On Machine Learning with Scikit-Learn & TensorFlow (2017) (First Release).pea 34.1 MB
【影视】 [DesireCourse.Com] Udemy - Data Science Practical Deep Learning in Theano + TensorFlow
收录时间:2020-01-30 文档个数:34 文档大小:509.8 MB 最近下载:2024-09-29 人气:3719 磁力链接
  • mp409 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
  • mp410 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
  • mp409 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
  • mp407 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
  • mp410 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
  • mp406 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
  • mp408 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
  • mp405 Theano/015 Building a neural network in Theano.mp4 22.8 MB
  • mp409 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
  • mp405 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
  • mp406 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
  • mp410 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
  • mp403 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
  • mp402 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
  • mp404 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
  • mp409 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
  • mp401 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.7 MB
  • mp403 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
  • mp409 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
  • mp407 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB

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