- 【影视】 Convolutional Neural Networks with TensorFlow in Python
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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
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/024 Building and training the CNN.mp4 91.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/042 Trousers and Jeans - All.mp4 89.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/07 Tensorboard_ Visualization tool for TensorFlow/026 Tensorboard on the MNIST example.mp4 87.7 MB
[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
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/045 L2 regularization and Dropout.mp4 85.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/10 Understanding CNNs/047 Unexpected failures.mp4 76.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/051 GoogleNet - computational efficiency.mp4 74.8 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/022 A simple CNN architecture.mp4 73.0 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/009 Feature maps.mp4 70.9 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/023 Preprocessing the data.mp4 65.1 MB
[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
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/03 CNN Introduction/010 Pooling and Stride.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/01 Introduction to the course/001 What does the course cover_.mp4 60.7 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/041 Trousers and Jeans - discussion of approaches.mp4 56.1 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/02 Kernels/004 How do image transformations work_.mp4 55.3 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/11 Popular CNN architectures/052 ResNet - revolution of depth.mp4 52.2 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/09 A practical project_ Labelling fashion items/035 The objective and the images.mp4 49.4 MB
[TutsNode.com] - Convolutional Neural Networks with TensorFlow in Python/06 CNN assembling - MNIST/025 Testing the trained CNN.mp4 47.3 MB
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[ FreeCourseWeb.com ] Oreilly - Python Application Series- Machine Learning Using Tensorflow.zip 799.2 MB
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01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
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- 【压缩文件】 Deep Learning for Computer Vision with TensorFlow 2
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[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/1. Installation and Setup/4.1 CV-TF1.X-2.X.zip 522.3 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/16.1 cudnn-10.0-linux-x64-v7.5.0.56.tgz 432.8 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/20.3 yolov4.zip 239.6 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/20. Train your custom dataset with Yolov4 in Google Colab.mp4 190.1 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/14.4 yolov2_weights.zip 189.3 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/12.4 yolo.zip 189.3 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/9. Train Blood Cells Dataset in TensorFlow Object Detection part2.mp4 185.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/7. TensorFlow2 Object Detection API on images and videos.mp4 176.8 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/4. Creating an Image Datasets/3. Open Images Dataset V6 and Voxel FiftyOne.mp4 175.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/10. The YOLO (You only look once) Model.mp4 168.9 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/4. Creating an Image Datasets/2. Scraping images with Selenium.mp4 168.2 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/6. SSD (Single Shot Detector).mp4 168.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/12. Running YOLO v2 on images.mp4 167.6 MB
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[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/20.2 yolov4.conv.137.zip 158.0 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/16.2 darknet53.conv.74.zip 151.1 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/13. YOLOv2 on video and webcam.mp4 149.8 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/5. Object Detection/16. Train your own dataset in Yolov3-Colab-Part 1.mp4 145.4 MB
[TutsNode.com] - Deep Learning for Computer Vision with TensorFlow 2/4. Creating an Image Datasets/4. Roboflow.mp4 143.4 MB
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15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
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19. Test Train Split/4. Test train split in R.mp4 79.3 MB
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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
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~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
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01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
06 TensorFlow Basics/032 TensorFlow Regression Example _ Part Two.mp4 60.6 MB
07 Convolutional Neural Networks/052 CNN Project Exercise Solution - Part One.mp4 52.6 MB
10 AutoEncoders/080 Stacked Autoencoder.mp4 46.1 MB
05 Introduction to Neural Networks/024 Manual Neural Network Classification Task.mp4 42.5 MB
09 Miscellaneous Topics/075 Tensorboard.mp4 41.9 MB
10 AutoEncoders/077 Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11 Reinforcement Learning with OpenAI Gym/088 Simple Neural Network Game.mp4 37.6 MB
08 Recurrent Neural Networks/068 Word2Vec Code Along - Part One.mp4 37.3 MB
08 Recurrent Neural Networks/065 Time Series Exercise Solution.mp4 36.8 MB
07 Convolutional Neural Networks/046 MNIST Basic Approach Part Two.mp4 36.6 MB
08 Recurrent Neural Networks/060 RNN with TensorFlow - Part One.mp4 35.7 MB
08 Recurrent Neural Networks/069 Word2Vec Part Two.mp4 35.0 MB
09 Miscellaneous Topics/073 Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11 Reinforcement Learning with OpenAI Gym/091 Policy Gradient Code Along Part Two.mp4 34.4 MB
06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp4 33.5 MB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
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9 - Recurrent Neural Networks RNNs/89 - Bonus Multivariate Time Series RNN and LSTMs.mp4 246.5 MB
1 - Course Overview Installs and Setup/3 - Course Setup and Installation.mp4 242.8 MB
9 - Recurrent Neural Networks RNNs/88 - RNN Exercise Solutions.mp4 240.8 MB
7 - Basic Artificial Neural Networks ANNs/58 - Tensorboard.mp4 236.0 MB
7 - Basic Artificial Neural Networks ANNs/51 - Keras Project Solutions Exploratory Data Analysis.mp4 230.7 MB
13 - Deployment/116 - Live Deployment to the Web.mp4 204.9 MB
9 - Recurrent Neural Networks RNNs/86 - RNN on a Time Series Part Two.mp4 204.9 MB
7 - Basic Artificial Neural Networks ANNs/43 - Keras Regression Code Along Exploratory Data Analysis.mp4 200.3 MB
12 - Generative Adversarial Networks/107 - Creating a GAN Part Three Model Training.mp4 181.3 MB
7 - Basic Artificial Neural Networks ANNs/48 - Keras Classification Dealing with Overfitting and Evaluation.mp4 179.4 MB
13 - Deployment/115 - Flask Front End.mp4 175.6 MB
11 - AutoEncoders/99 - Autoencoder for Dimensionality Reduction.mp4 175.4 MB
4 - Pandas Crash Course/18 - Data Input and Output.mp4 159.1 MB
8 - Convolutional Neural Networks CNNs/72 - CNN on Real Image Files Part Three Creating the Model.mp4 141.9 MB
7 - Basic Artificial Neural Networks ANNs/52 - Keras Project Solutions Dealing with Missing Data.mp4 139.8 MB
7 - Basic Artificial Neural Networks ANNs/41 - Keras Syntax Basics Part Two Creating and Training the Model.mp4 131.0 MB
13 - Deployment/110 - Creating the Model.mp4 128.0 MB
5 - Visualization Crash Course/23 - Seaborn Basics.mp4 125.8 MB
7 - Basic Artificial Neural Networks ANNs/53 - Keras Project Solutions Dealing with Missing Data Part Two.mp4 124.3 MB
8 - Convolutional Neural Networks CNNs/71 - CNN on Real Image Files Part Two Data Processing.mp4 123.9 MB
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[ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip 470.9 MB
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Detect Fraud and Predict the Stock Market with TensorFlow.zip 1.1 GB
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16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 203.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 196.5 MB
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 153.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 147.0 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 143.5 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 143.1 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 126.8 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 123.6 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 120.3 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 117.6 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 116.4 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 113.1 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 104.8 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 103.5 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 102.6 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 101.8 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 99.7 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 98.9 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 92.5 MB
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- 【影视】 365 Data Science - Deep Learning with TensorFlow [CoursesGhar]
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13. Business case/4. Preprocessing the data.mp4 82.6 MB
14. Conclusion/3. An overview of CNNs.mp4 75.4 MB
6. Deep nets overview/3. Really understand deep nets.mp4 61.0 MB
13. Business case/10. Homework.mp4 60.3 MB
13. Business case/5. Creating the batching class.mp4 59.4 MB
2. Neural networks Intro/11. One-parameter gradient descent.mp4 59.1 MB
12. Deeper example/9. Commenting on the results.mp4 55.3 MB
6. Deep nets overview/7. Backpropagation.mp4 55.3 MB
13. Business case/1. The dataset.mp4 55.2 MB
2. Neural networks Intro/12. N-parameter gradient descent.mp4 52.5 MB
1. Introduction/2. What does the course cover.mp4 51.6 MB
14. Conclusion/1. Summary.mp4 50.9 MB
4. Minimal example/4. Training the model.mp4 48.8 MB
13. Business case/6. Outlining the model.mp4 48.5 MB
12. Deeper example/4. MNIST - Outlining the model.mp4 47.2 MB
13. Business case/3. Balancing a dataset.mp4 47.1 MB
5. Introduction to TensorFlow/1. TensorFlow outline.mp4 46.8 MB
2. Neural networks Intro/1. Introduction to neural networks.mp4 44.6 MB
2. Neural networks Intro/6. The linear model. Multiple inputs and multiple outputs.mp4 44.3 MB
14. Conclusion/5. Non-NN approaches.mp4 43.9 MB
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