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16. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
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16. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
14. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
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17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
2. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
1. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
10. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
5. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
9. Pré-processamento de Dados com TFT (TensorFlow Transform)/5. Pipeline de Pré-processamento.mp4 63.7 MB
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16. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
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15. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
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17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
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16. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
10. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
5. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
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[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/3. Section 3/6. Digit Classification.mp4 151.4 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/3. Linear Regression - Theory.mp4 151.1 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/1. Decision Trees - Theory.mp4 145.5 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/2. Convolution in CNN (part1).mp4 143.9 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/3. Convolution in CNN (part2).mp4 138.1 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/6. Logistic Regression - Implementation.mp4 123.0 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/4. Layers of CNN.mp4 119.4 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/1. Section 1/6. Intro to Machine Learning.mp4 117.9 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/1. Section 1/3. Graphs.mp4 117.7 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/3. Section 3/3. Complex Decision Boundaries.mp4 117.1 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/5. Section 5/7. Principal Component Analysis.mp4 115.2 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/4. Section 4/1. Introduction.mp4 114.4 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/5. Logistic Regression - Theory.mp4 112.8 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/3. Section 3/2. Gates and Forward Propagation.mp4 109.3 MB
[TutsNode.com] - Tensorflow Tutorial Hands-on AI development with Tensorflow/2. Section 2/4. Linear Regression - Implementation.mp4 109.1 MB
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6. Live Projects/3. Cats vs Dogs.mp4 303.6 MB
6. Live Projects/1. Fashion Clothing Recognition.mp4 164.3 MB
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3. Section 3/2. Gates and Forward Propagation.mp4 109.3 MB
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16. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
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16. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
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15. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
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17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
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16. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
10. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
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15. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
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01.Welcome! Course introduction/0101.Meet your instructors and why you should study machine learning.mp4 88.9 MB
06.Going deeper Introduction to deep neural networks/0603.Understanding deep nets in depth.mp4 61.0 MB
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13.Conclusion/1305.An overview of non-NN approaches.mp4 42.1 MB
01.Welcome! Course introduction/0102.What does the course cover.mp4 41.0 MB
13.Conclusion/1301.See how much you have learned.mp4 40.8 MB
06.Going deeper Introduction to deep neural networks/0604.Why do we need non-linearities.mp4 39.8 MB
06.Going deeper Introduction to deep neural networks/0605.Activation functions.mp4 39.8 MB
05.TensorFlow - An introduction/0502.TensorFlow 2 intro.mp4 39.7 MB
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3.3. Training TensorFlow Applications/18.Linear regression in code - Part 2.mp4 23.2 MB
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5.5. Machine Learning with Estimators/32.Coding a DNN estimator - Part 1.mp4 16.1 MB
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2.2. Fundamentals of TensorFlow Development/11.Accessing graphs and sessions in code.mp4 9.9 MB
5.5. Machine Learning with Estimators/28.Describing data with feature columns.mp4 9.8 MB
6.6. Deploying Estimators to the Machine Learning Engine/36.Creating a GCP project.mp4 9.5 MB
4.4. Accessing Data with Datasets/21.Datasets and iterators.mp4 9.1 MB
5.5. Machine Learning with Estimators/27.Understanding estimators.mp4 8.9 MB
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4.4. Accessing Data with Datasets/24.Creating datasets from files.mp4 8.7 MB
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3.2. TensorFlow Basics/10.Operations, or ops.mp4 15.7 MB
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2.1. Introduction and Setup/05.Introduction to machine learning.mp4 4.8 MB
2.1. Introduction and Setup/03.Introduction to TensorFlow.mp4 3.3 MB
6.Conclusion/20.Next steps.mp4 1.9 MB
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1.Convolutional Neural Networks for Computer Vision/06.Transfer Learning.mp4 352.0 MB
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video2_2.mp4 9.7 MB
video4_3.mp4 9.4 MB
video2_3.mp4 8.9 MB
video2_1.mp4 8.8 MB
video1_3.mp4 8.1 MB
video4_2.mp4 8.0 MB
video3_5.mp4 7.8 MB
video1_1.mp4 7.7 MB
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- 收录时间:2020-01-30 文档个数:34 文档大小:509.8 MB 最近下载:2025-02-16 人气:2396 磁力链接
09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 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
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB
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- 收录时间:2020-01-30 文档个数:63 文档大小:910.0 MB 最近下载:2025-02-16 人气:3588 磁力链接
Tensorflow 11 建造神经网络.mp4 67.9 MB
Tensorflow 20.3 RNN lstm (regression 回归例子).mp4 62.1 MB
Tensorflow 14 可视化好帮手1.mp4 61.5 MB
Tensorflow 19 Saver保存读取.mp4 60.8 MB
Tensorflow 18-2 CNN卷积神经网络2.mp4 55.8 MB
Tensorflow 20.2 RNN 循环神经网络 (分类例子).mp4 55.8 MB
Tensorflow 17 dropout 解决overfitting 问题.mp4 44.2 MB
Tensorflow 22 scope 命名方式.mp4 42.9 MB
Tensorflow 23 Batch normalization 批标准化.mp4 38.8 MB
Tensorflow 16 分类学习.mp4 36.6 MB
Tensorflow 9 激励函数.mp4 35.8 MB
Tensorflow 10 添加层.mp4 32.4 MB
Tensorflow 18-3 CNN卷积神经网络3.mp4 32.3 MB
Tensorflow 5 例子2.mp4 31.9 MB
Tensorflow 21 Autoencoder (非监督学习).mp4 30.7 MB
Tensorflow 18-1 CNN卷积神经网络1.mp4 30.0 MB
Tensorflow 20.1 RNN 循环神经网络.mp4 29.6 MB
Tensorflow 15 可视化好帮手2.mp4 27.6 MB
Tensorflow 12 结果可视化.mp4 23.5 MB
Tensorflow 13 优化器.mp4 17.2 MB
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- 收录时间:2020-02-01 文档个数:27 文档大小:411.6 MB 最近下载:2025-02-19 人气:4577 磁力链接
00009 Working_with_Skip-Gram_Embeddings.mp4 30.5 MB
00007 Working_with_Bag-of-Words.mp4 27.1 MB
00013 Applying_Stylenet_Neural-Style.mp4 25.8 MB
00006 Learning_to_Play_Tic-Tac-Toe.mp4 22.2 MB
00014 Implementing_RNN_for_Spam_Prediction.mp4 22.0 MB
00010 Working_with_CBOW_Embeddings.mp4 21.2 MB
00012 Implementing_an_Advanced_CNN.mp4 20.5 MB
00005 Implementing_Different_Layers.mp4 19.7 MB
00008 Implementing_TF-IDF.mp4 19.2 MB
00024 Working_with_a_Genetic_Algorithm.mp4 18.1 MB
00023 Visualizing_Graphs_in_TensorBoard.mp4 16.6 MB
00017 Training_a_Siamese_Similarity_Measure.mp4 16.6 MB
00011 Implementing_a_Simpler_CNN.mp4 15.7 MB
00015 Implementing_an_LSTM_Model.mp4 15.3 MB
00025 Clustering_Using_K-Means.mp4 13.0 MB
00002 Implementing_Operational_Gates.mp4 12.8 MB
00003 Working_with_Gates_and_Activation_Functions.mp4 11.8 MB
00004 Implementing_a_One-Layer_Neural_Network.mp4 11.6 MB
00018 Implementing_Unit_Tests.mp4 10.2 MB
00001 The_Course_Overview.mp4 9.9 MB
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09 Project Facial Expression Recognition/028 Class-Based ANN in Theano.mp4 46.1 MB
10 Appendix/031 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 46.0 MB
09 Project Facial Expression Recognition/029 Class-Based ANN in TensorFlow.mp4 39.2 MB
07 GPU Speedup Homework and Other Misc Topics/018 Setting up a GPU Instance on Amazon Web Services.mp4 26.9 MB
10 Appendix/032 How to Code by Yourself part 1.mp4 25.7 MB
06 TensorFlow/017 Building a neural network in TensorFlow.mp4 25.0 MB
08 Modern Regularization Techniques/023 Dropout Regularization.mp4 23.8 MB
05 Theano/015 Building a neural network in Theano.mp4 22.8 MB
09 Project Facial Expression Recognition/025 Facial Expression Recognition Problem Description.mp4 22.5 MB
05 Theano/014 Theano Basics Variables Functions Expressions Optimization.mp4 20.3 MB
06 TensorFlow/016 TensorFlow Basics Variables Functions Expressions Optimization.mp4 17.9 MB
10 Appendix/033 How to Code by Yourself part 2.mp4 15.5 MB
03 Momentum and adaptive learning rates/008 Code for training a neural network using momentum.mp4 15.3 MB
02 Gradient Descent Full vs Batch vs Stochastic/006 Full vs Batch vs Stochastic Gradient Descent in code.mp4 14.7 MB
04 Choosing Hyperparameters/012 Grid Search in Code.mp4 14.4 MB
09 Project Facial Expression Recognition/027 Utilities walkthrough.mp4 14.1 MB
01 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
03 Momentum and adaptive learning rates/010 Constant learning rate vs. RMSProp in Code.mp4 11.5 MB
09 Project Facial Expression Recognition/026 The class imbalance problem.mp4 10.6 MB
07 GPU Speedup Homework and Other Misc Topics/022 Theano vs. TensorFlow.mp4 9.6 MB
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