- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip
- 收录时间:2020-10-23 文档个数:1 文档大小:2.5 GB 最近下载:2024-11-01 人气:2454 磁力链接
- [ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip 2.5 GB
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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:2024-11-13 人气:2394 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
- 猜你喜欢: TensorFlow Data Science Deep Udemy Practical Learning DesireCourse Theano Com
- 【文档书籍】 Planche B. Hands-On Computer Vision with TensorFlow 2..2019
- 收录时间:2020-03-09 文档个数:209 文档大小:74.4 MB 最近下载:2024-11-12 人气:2393 磁力链接
- Planche B. et al. Hands-On Computer Vision with TensorFlow 2...2019.pdf 21.3 MB
- Code/Chapter09/tfjs/static/emotion_detection/group1-shard1of4.bin 4.2 MB
- Code/Chapter09/tfjs/static/emotion_detection/group1-shard2of4.bin 4.2 MB
- Code/Chapter09/tfjs/static/emotion_detection/group1-shard3of4.bin 4.2 MB
- Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard1of4 4.2 MB
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- Code/Chapter09/tfjs/static/emotion_detection_old/group1-shard3of4 4.2 MB
- Code/Chapter06/ch6_nb5_build_and_train_a_fcn8s_semantic_segmentation_model_for_smart_cars.ipynb 3.0 MB
- Code/Chapter06/ch6_nb6_build_and_train_a_unet_for_urban_object_and_instance_segmentation.ipynb 2.8 MB
- Code/Chapter07/ch7_nb4_train_segmentation_model_on_synthetic_images.ipynb 2.4 MB
- Code/Chapter07/ch7_nb1_set_up_efficient_input_pipelines_with_tf_data.ipynb 2.4 MB
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- Code/Chapter06/ch6_nb3_improve_image_quality_with_dae.ipynb 1.5 MB
- Code/Chapter04/ch4_nb3_fetch_models_from_tf_hub.ipynb 1.1 MB
- Code/Chapter07/ch7_nb6_apply_dann_to_train_segmentation_model_on_synthetic_data.ipynb 868.0 kB
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- Code/Chapter04/ch4_nb1_implement_resnet_from_scratch.ipynb 734.2 kB
- Code/Chapter04/ch4_nb2_reuse_models_from_keras_apps.ipynb 684.2 kB
- Code/Chapter07/ch7_nb7_generate_images_with_vae_models.ipynb 559.2 kB
- Code/Chapter07/ch7_nb8_generate_images_with_gan_models.ipynb 559.0 kB
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- 收录时间:2020-12-19 文档个数:1 文档大小:365.3 MB 最近下载:2024-11-08 人气:2221 磁力链接
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- 01 - INTRODUCTION AND COURSE OUTLINE/007 Whats New in TensorFlow 2.0.mp4 229.6 MB
- 05 - DEEP DREAM/008 Deep Dream Coding P5.mp4 221.2 MB
- 05 - DEEP DREAM/001 What is Deep Dream.mp4 203.4 MB
- 05 - DEEP DREAM/002 How does DeepDream Algo work.mp4 162.6 MB
- 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/001 ANN and CNN - Part 1.mp4 149.3 MB
- 04 - AUTOENCODERS/013 Autoencoders Project 2 - Coding P2.mp4 147.5 MB
- 04 - AUTOENCODERS/001 Autoencoders intuition.mp4 124.4 MB
- 04 - AUTOENCODERS/20087012-traffic-signs-data.zip 121.4 MB
- 03 - TRANSFER LEARNING (TF HUB)/006 Transfer Learning Project 1 - Coding P2.mp4 114.9 MB
- 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/010 Project 1 - Solution Part 2.mp4 106.3 MB
- 06 - GANs/010 GANS Project 1 P5.mp4 102.1 MB
- 08 - TENSORFLOW SERVING AND TENSORBOARD/003 TF Serving Coding Part 3.mp4 102.1 MB
- 05 - DEEP DREAM/007 Deep Dream Coding P4.mp4 101.9 MB
- 02 - REVIEW OF ARTIFICIAL NEURAL NETWORKS AND CONVOLUTIONAL NEURAL NETWORKS/007 ANN and CNN - Part 7.mp4 100.3 MB
- 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/006 Vanishing Gradient Problem.mp4 100.3 MB
- 07 - RECURRENT NEURAL NETWORKS (RNNs) AND LSTMs/007 Long Short Term Memory LSTM.mp4 96.7 MB
- 01 - INTRODUCTION AND COURSE OUTLINE/004 ML, AI and DL.mp4 96.2 MB
- 06 - GANs/001 GANS intuition.mp4 95.4 MB
- 03 - TRANSFER LEARNING (TF HUB)/005 Transfer Learning Project 1 - Coding P1.mp4 93.8 MB
- 03 - TRANSFER LEARNING (TF HUB)/007 Transfer Learning Project 1 - Coding P3.mp4 92.6 MB
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- 收录时间:2020-04-03 文档个数:48 文档大小:620.8 MB 最近下载:2024-11-03 人气:2153 磁力链接
- Chapter 7 - Recurrent Neural Networks and LSTM/35. Writing Music a la Bach.mp4 47.1 MB
- Chapter 1 - Exploring and Transforming data/04. Basic Tensor Methods.mp4 38.7 MB
- Chapter 4 - Logistic Regression/18. Univariate Logistic Regression.mp4 33.2 MB
- Chapter 1 - Exploring and Transforming data/02. TensorFlow's Main Data Structure Tensors.mp4 28.5 MB
- Chapter 3 - Linear Regression/14. Univariate Linear Regression.mp4 26.5 MB
- Chapter 1 - Exploring and Transforming data/05. How TensorBoard Works.mp4 25.8 MB
- Chapter 1 - Exploring and Transforming data/06. Reading Information from Disk.mp4 22.9 MB
- Chapter 3 - Linear Regression/15. Multivariate Linear Regression.mp4 22.6 MB
- Chapter 2 - Clustering/10. Project 1 k-Means Clustering on Synthetic Datasetsets.mp4 20.4 MB
- Chapter 2 - Clustering/09. k-Nearest Neighbor.mp4 19.8 MB
- Chapter 1 - Exploring and Transforming data/01. The Course Overview.mp4 19.5 MB
- Chapter 6 - Convolutional Neural Networks/25. Applying Convolution in TensorFlow.mp4 18.8 MB
- Chapter 6 - Convolutional Neural Networks/29. MNIST Digit Classification.mp4 18.7 MB
- Chapter 1 - Exploring and Transforming data/03. Handling the Computing Workflow TensorFlow's Data Flow Graph.mp4 17.0 MB
- Chapter 5 - Simple FeedForward Neural Networks/22. Second Project Modeling Cars Fuel Efficiency with Non-Linear.mp4 16.4 MB
- Chapter 8 - Deep Neural Networks/40. Painting with Style VGG Style Transfer.mp4 16.2 MB
- Chapter 7 - Recurrent Neural Networks and LSTM/34. Univariate Time Series Prediction with Energy Consumption Data.mp4 14.5 MB
- Chapter 9 - Library Installation And Additional Tips/42. mac OS Installation.mp4 14.3 MB
- Chapter 5 - Simple FeedForward Neural Networks/21. First Project Non-Linear Synthetic Function Regression.mp4 14.3 MB
- Chapter 5 - Simple FeedForward Neural Networks/20. Preliminary Concepts.mp4 14.0 MB
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- 18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
- 18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
- 18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
- 13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
- 19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
- 19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
- 11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
- 4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
- 5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
- 2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
- 19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
- 6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
- 10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
- 5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
- 5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
- 4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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- 21 Gerac227o automatica de caracteres/102 Construc227o da GAN - MNIST IV.mp4 152.5 MB
- 12 Classificac227o de digitos escritos a m227o/073 Redes convolucionais com estimators V.mp4 148.6 MB
- 09 Redes neurais para classificac227o e regress227o com TensorFlow/051 Classificac227o multiclasse - base iris II.mp4 144.3 MB
- 06 Classificac227o/031 Regress227o logistica com estimators I.mp4 144.0 MB
- 15 Serie temporal - precos da bolsa de valores/081 Base de dados para redes recorrentes II.mp4 142.9 MB
- 21 Gerac227o automatica de caracteres/101 Construc227o da GAN - MNIST III.mp4 138.2 MB
- 15 Serie temporal - precos da bolsa de valores/080 Base de dados para redes recorrentes I.mp4 127.0 MB
- 09 Redes neurais para classificac227o e regress227o com TensorFlow/050 Classificac227o multiclasse - base iris I.mp4 121.6 MB
- 22 Ap234ndice A - Basico sobre aprendizagem de maquina/107 Introduc227o a avaliac227o de algoritmos.mp4 118.3 MB
- 15 Serie temporal - precos da bolsa de valores/083 Redes neurais recorrentes II.mp4 117.2 MB
- 08 Teoria resumida sobre redes neurais artificiais/043 TensorFlow playground.mp4 113.6 MB
- 21 Gerac227o automatica de caracteres/100 Construc227o da GAN - MNIST II.mp4 113.2 MB
- 09 Redes neurais para classificac227o e regress227o com TensorFlow/055 Classificac227o de digitos manuscritos III.mp4 112.7 MB
- 12 Classificac227o de digitos escritos a m227o/072 Redes convolucionais com estimators IV.mp4 112.6 MB
- 18 Reduc227o de dimensionalidade/094 Stacked autoencoder - MNIST III.mp4 111.7 MB
- 09 Redes neurais para classificac227o e regress227o com TensorFlow/048 Classificac227o binaria - XOR II.mp4 111.7 MB
- 05 Regress227o linear/025 Regress227o linear simples com estimators II.mp4 110.6 MB
- 05 Regress227o linear/027 Regress227o linear multipla com estimators II.mp4 109.3 MB
- 21 Gerac227o automatica de caracteres/099 Construc227o da GAN - MNIST I.mp4 107.4 MB
- 22 Ap234ndice A - Basico sobre aprendizagem de maquina/108 Introduc227o a redes neurais artificiais I.mp4 106.7 MB
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- 收录时间:2020-04-30 文档个数:1 文档大小:724.4 MB 最近下载:2024-10-23 人气:2113 磁力链接
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- 收录时间:2021-03-13 文档个数:199 文档大小:2.4 GB 最近下载:2024-10-26 人气:2108 磁力链接
- 1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
- 1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
- 6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
- 7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
- 10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
- 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
- 9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
- 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
- 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
- 8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
- 8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
- 7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
- 8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
- 8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
- 9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
- 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
- 6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
- 4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
- 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
- 3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB
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- 收录时间:2020-12-09 文档个数:1 文档大小:660.2 MB 最近下载:2024-11-06 人气:2092 磁力链接
- [ FreeCourseWeb.com ] Install TensorFlow-GPU on Windows 10 - cuDNN, CUDA toolkit, and Visual Studio for Application Development.zip 660.2 MB
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- 收录时间:2020-12-22 文档个数:45 文档大小:1.1 GB 最近下载:2024-11-06 人气:2091 磁力链接
- The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/2. Machine Learning Algorithm Part 1.mp4 113.0 MB
- The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/5. Buidling the Second Module classifier.py with TensorFlow 2.mp4 105.0 MB
- The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/3. Machine Learning Algorithm Part 2.mp4 100.1 MB
- The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/1. Detecting the faces in Vidoes Part 1.mp4 86.3 MB
- The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/3. Buidling the First Module preprocessing.py with TensorFlow 2 part 2.mp4 78.5 MB
- The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/4. Buidling the First Module preprocessing.py with TensorFlow 2 part 3.mp4 72.8 MB
- The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/3. Preprocessing Image Part 1.mp4 71.9 MB
- The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/2. Detecting the faces in Vidoes Part 2.mp4 67.1 MB
- The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/2. The dataset creation.mp4 60.9 MB
- The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/3. Labelling the dataset and generate the annotation XML file.mp4 50.7 MB
- The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/1. Diffrence Between TensorFlow 1.x and TensorFlow 2 Part 1.mp4 49.3 MB
- The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2 Part 2.mp4 48.4 MB
- The Magic of Deep Learning with TensorFlow 2/5. The Magic of TensorFlow 2/3. Yolo Object detector live stream.mp4 42.2 MB
- The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/2. Buidling the First Module preprocessing.py with TensorFlow 2 part 1.mp4 32.5 MB
- The Magic of Deep Learning with TensorFlow 2/1. Getting started with Tensorflow 2/1. Installing TensorFlow 2.mp4 27.9 MB
- The Magic of Deep Learning with TensorFlow 2/2. Diffrence Between TensorFlow 1.x and TensorFlow 2/4. Preprocessing Image Part 2.mp4 24.4 MB
- The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/4. Modifying and training your custom Yolo detector for the new object.mp4 20.6 MB
- The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/1. Introduction.mp4 16.1 MB
- The Magic of Deep Learning with TensorFlow 2/3. Face Detection with TensorFlow 2/6. Buidling the Third Module data_preprocesses.py with TensorFlow 2.mp4 7.2 MB
- The Magic of Deep Learning with TensorFlow 2/4. Yolo Detector with TensorFlow 2/1. Introduction.mp4 5.1 MB
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- ~Get Your Files Here !/1 - INTRODUCTION TO COURSE/2 - CREATING DATASET FOR FACE RECOGNITION.mp4 172.1 MB
- ~Get Your Files Here !/1 - INTRODUCTION TO COURSE/4 - VALIDATE THE TRAINED MODEL.mp4 91.7 MB
- ~Get Your Files Here !/2 - INTRODUCTION TO Face Recognition Using TesnsorFlow And Keras/8 - OUTPUT FOR FACE RECOGNITION AND CONCLUSION.mp4 86.8 MB
- ~Get Your Files Here !/1 - INTRODUCTION TO COURSE/5 - DOWNLOAD THE TENSORFLOW AND KERAS MODEL.mp4 74.2 MB
- ~Get Your Files Here !/1 - INTRODUCTION TO COURSE/3 - TRAIN THE DATASET AND ITS FEATURES.mp4 55.8 MB
- ~Get Your Files Here !/1 - INTRODUCTION TO COURSE/1 - Introduction To Teachable Machine.mp4 45.7 MB
- ~Get Your Files Here !/1 - INTRODUCTION TO COURSE/6 - EXTRACT THE KERAS MODEL AND LABELS.mp4 39.2 MB
- ~Get Your Files Here !/2 - INTRODUCTION TO Face Recognition Using TesnsorFlow And Keras/7 - INSTALL PACKAGES AND EXECUTE PROJECT IN PYCHARM IDE.mp4 25.0 MB
- ~Get Your Files Here !/Bonus Resources.txt 386 Bytes
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- 收录时间:2020-03-08 文档个数:201 文档大小:2.5 GB 最近下载:2024-11-05 人气:2041 磁力链接
- 1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
- 1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
- 6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
- 7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
- 10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
- 5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
- 9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
- 10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
- 11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
- 8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
- 8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
- 7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
- 8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
- 8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
- 9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
- 11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
- 6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
- 4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
- 6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
- 3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB
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- Browser-based-models-tensorflow.zip 464.4 MB
- Device-based-models-tensorflow.zip 396.6 MB
- Data-pipelines-tensorflow.zip 349.5 MB
- Advanced-deployment-scenarios-tensorflow.zip 247.8 MB
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