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- 【其他】 Building Machine Learning Systems with TensorFlow [Video]
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收录时间:2017-07-03
文档个数:92
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1.1-The course Overview - Building Machine Learning Systems with TensorFlow [Video].mp4 13.2 MB
1.2-TensorFlows Main Data Structure – Tensors - Building Machine Learning Systems with TensorFlow [Video].mp4 20.6 MB
1.3-Handling the Computing Workflow – TensorFlows Data Flow Graph - Building Machine Learning Systems with TensorFlow [Video].mp4 15.0 MB
1.4-Basic Tensor Methods - Building Machine Learning Systems with TensorFlow [Video].mp4 31.0 MB
1.5-How TensorBoard Works - Building Machine Learning Systems with TensorFlow [Video].mp4 20.0 MB
1.6-Reading Information from Disk - Building Machine Learning Systems with TensorFlow [Video].mp4 16.5 MB
2.1-Learning from Data –Unsupervised Learning - Building Machine Learning Systems with TensorFlow [Video].mp4 5.1 MB
2.2-Mechanics of k-Means - Building Machine Learning Systems with TensorFlow [Video].mp4 7.0 MB
2.3-k-Nearest Neighbor - Building Machine Learning Systems with TensorFlow [Video].mp4 16.1 MB
2.4-Project 1 – k-Means Clustering on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4 16.8 MB
2.5-Project 2 – Nearest Neighbor on Synthetic Datasets - Building Machine Learning Systems with TensorFlow [Video].mp4 8.8 MB
3.1-Univariate Linear Modelling Function - Building Machine Learning Systems with TensorFlow [Video].mp4 9.9 MB
3.2-Optimizer Methods in TensorFlow – The Train Module - Building Machine Learning Systems with TensorFlow [Video].mp4 6.3 MB
3.3-Univariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 19.7 MB
3.4-Multivariate Linear Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 20.1 MB
4.1-Logistic Function Predecessor – The Logit Functions - Building Machine Learning Systems with TensorFlow [Video].mp4 7.7 MB
4.2-The Logistic Function - Building Machine Learning Systems with TensorFlow [Video].mp4 10.6 MB
4.3-Univariate Logistic Regression - Building Machine Learning Systems with TensorFlow [Video].mp4 26.3 MB
4.4-Univariate Logistic Regression with keras - Building Machine Learning Systems with TensorFlow [Video].mp4 10.6 MB
5.1-Preliminary Concepts - Building Machine Learning Systems with TensorFlow [Video].mp4 14.7 MB
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- 【影视】 Deep Learning - Artificial Neural Networks with Tensorflow
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Chapter 3 Feedforward Artificial Neural Networks/004. Activation Functions.mp4 64.7 MB
Chapter 3 Feedforward Artificial Neural Networks/009. ANN for Regression.mp4 58.7 MB
Chapter 2 Machine Learning and Neurons/001. What Is Machine Learning.mp4 56.1 MB
Chapter 3 Feedforward Artificial Neural Networks/006. How to Represent Images.mp4 52.0 MB
Chapter 2 Machine Learning and Neurons/002. Code Preparation (Classification Theory).mp4 50.7 MB
Chapter 2 Machine Learning and Neurons/005. Regression Notebook.mp4 50.0 MB
Chapter 2 Machine Learning and Neurons/003. Classification Notebook.mp4 46.9 MB
Chapter 3 Feedforward Artificial Neural Networks/007. Code Preparation (Artificial Neural Networks).mp4 44.2 MB
Chapter 5 In-Depth Gradient Descent/005. Adam Optimization (Part 1).mp4 44.1 MB
Chapter 5 In-Depth Gradient Descent/006. Adam Optimization (Part 2).mp4 42.4 MB
Chapter 3 Feedforward Artificial Neural Networks/008. ANN for Image Classification.mp4 42.1 MB
Chapter 3 Feedforward Artificial Neural Networks/003. The Geometrical Picture.mp4 41.3 MB
Chapter 2 Machine Learning and Neurons/007. How Does a Model Learn .mp4 40.4 MB
Chapter 2 Machine Learning and Neurons/006. The Neuron.mp4 35.7 MB
Chapter 3 Feedforward Artificial Neural Networks/005. Multiclass Classification.mp4 35.6 MB
Chapter 3 Feedforward Artificial Neural Networks/002. Forward Propagation.mp4 35.4 MB
Chapter 5 In-Depth Gradient Descent/004. Variable and Adaptive Learning Rates.mp4 34.2 MB
Chapter 4 In-Depth Loss Functions/001. Mean Squared Error.mp4 31.8 MB
Chapter 2 Machine Learning and Neurons/008. Making Predictions.mp4 31.2 MB
Chapter 5 In-Depth Gradient Descent/003. Momentum.mp4 30.2 MB
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- 【压缩文件】 Detect Fraud and Predict the Stock Market with TensorFlow
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Detect Fraud and Predict the Stock Market with TensorFlow.zip 1.1 GB
Download more courses.url 123 Bytes
Downloaded from TutsGalaxy.com.txt 73 Bytes
Downloaded from Demonoid - www.dnoid.to.txt 56 Bytes
TutsGalaxy.com.txt 53 Bytes
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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Build Movie Review Classification with BERT and Tensorflow.zip
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[ DevCourseWeb.com ] Udemy - Build Movie Review Classification with BERT and Tensorflow.zip 1.1 GB
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- 【影视】 The Magic of Deep Learning with TensorFlow 2
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收录时间:2023-12-30
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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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- 【影视】 Deep Learning - Recurrent Neural Networks with TensorFlow
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Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/001. Sequence Data.mp4 73.6 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/010. GRU and LSTM (Part 1).mp4 62.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/008. RNN for Time Series Prediction.mp4 58.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/003. Autoregressive Linear Model for Time Series Prediction.mp4 56.4 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/018. Stock Return Predictions Using LSTMs (Part 3).mp4 56.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/016. Stock Return Predictions Using LSTMs (Part 1).mp4 53.6 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 50.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/012. A More Challenging Sequence.mp4 48.3 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 48.1 MB
Chapter 3 Natural Language Processing (NLP)/004. Text Classification with LSTMs.mp4 42.7 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/009. Paying Attention to Shapes.mp4 41.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/011. GRU and LSTM (Part 2).mp4 41.1 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/002. Forecasting.mp4 38.0 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/006. Recurrent Neural Networks (Elman Unit Part 2).mp4 33.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/005. Recurrent Neural Networks (Elman Unit Part 1).mp4 33.0 MB
Chapter 1 Welcome/002. Outline.mp4 30.5 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/017. Stock Return Predictions Using LSTMs (Part 2).mp4 27.9 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.2 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/014. RNN for Image Classification (Theory).mp4 24.3 MB
Chapter 2 Recurrent Neural Networks (RNNs), Time Series, and Sequence Data/019. Other Ways to Forecast.mp4 21.3 MB
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- 【影视】 Deep Learning - Convolutional Neural Networks with TensorFlow
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收录时间:2024-07-11
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Chapter 2 Convolutional Neural Networks (CNNs)/005. CNN Architecture.mp4 65.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/006. CNN Code Preparation.mp4 62.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/011. Improving CIFAR-10 Results.mp4 58.9 MB
Chapter 2 Convolutional Neural Networks (CNNs)/004. Convolution on Color Images.mp4 58.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/001. What Is Convolution (Part 1).mp4 57.9 MB
Chapter 4 Transfer Learning for Computer Vision/005. Transfer Learning Code (Part 1).mp4 52.2 MB
Chapter 3 Natural Language Processing (NLP)/002. Code Preparation (NLP).mp4 49.2 MB
Chapter 3 Natural Language Processing (NLP)/001. Embeddings.mp4 45.4 MB
Chapter 4 Transfer Learning for Computer Vision/001. Transfer Learning Theory.mp4 44.6 MB
Chapter 4 Transfer Learning for Computer Vision/006. Transfer Learning Code (Part 2).mp4 39.0 MB
Chapter 2 Convolutional Neural Networks (CNNs)/007. CNN for Fashion MNIST.mp4 36.2 MB
Chapter 3 Natural Language Processing (NLP)/005. Text Classification with CNNs.mp4 33.6 MB
Chapter 4 Transfer Learning for Computer Vision/003. Large Datasets and Data Generators.mp4 33.6 MB
Chapter 3 Natural Language Processing (NLP)/004. CNNs for Text.mp4 31.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/009. Data Augmentation.mp4 31.2 MB
Chapter 4 Transfer Learning for Computer Vision/002. Some Pre-Trained Models (VGG, ResNet, Inception, MobileNet).mp4 27.5 MB
Chapter 2 Convolutional Neural Networks (CNNs)/008. CNN for CIFAR-10.mp4 26.1 MB
Chapter 3 Natural Language Processing (NLP)/003. Text Preprocessing.mp4 25.0 MB
Chapter 1 Welcome/002. Outline.mp4 24.6 MB
Chapter 2 Convolutional Neural Networks (CNNs)/003. What Is Convolution (Part 3).mp4 23.5 MB
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- 【影视】 python Tensorflow 视频教程 (带源码)
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收录时间:2017-08-03
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tensorflowTUT源码/tensorflow8_feeds.py 357 Bytes
tensorflowTUT源码/tf5_example2/for_you_to_practice.py 419 Bytes
tensorflowTUT源码/tensorflow7_variable.py 513 Bytes
tensorflowTUT源码/tensorflow6_session.py 515 Bytes
tensorflowTUT源码/tensorflow10_def_add_layer.py 547 Bytes
tensorflowTUT源码/tf5_example2/full_code.py 847 Bytes
tensorflowTUT源码/tf11_build_network/for_you_to_practice.py 892 Bytes
tensorflowTUT源码/tf16_classification/for_you_to_practice.py 894 Bytes
tensorflowTUT源码/tf19_saver.py 1.1 kB
tensorflowTUT源码/tf14_tensorboard/for_you_to_practice.py 1.2 kB
tensorflowTUT源码/tf11_build_network/full_code.py 1.6 kB
tensorflowTUT源码/tf12_plot_result/for_you_to_practice.py 1.6 kB
tensorflowTUT源码/tensorflow11_build_network.py 1.6 kB
tensorflowTUT源码/tf14_tensorboard/full_code.py 1.7 kB
tensorflowTUT源码/tf18_CNN2/for_you_to_practice.py 1.7 kB
tensorflowTUT源码/tf17_dropout/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf15_tensorboard/for_you_to_practice.py 1.8 kB
tensorflowTUT源码/tf16_classification/full_code.py 2.0 kB
tensorflowTUT源码/tf12_plot_result/full_code.py 2.0 kB
tensorflowTUT源码/tensorflow12_plut_result.py 2.0 kB
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- 【压缩文件】 [UdemyCourseDownloader] Implementing Image Recognition Systems with TensorFlow
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tensorflow-image-recognition.zip 559.4 MB
13 - Demo - Predictions into Human Readable Names.mp4 35.8 MB
23 - Segementation.mp4 35.0 MB
24 - Demo - Segmentation.mp4 31.8 MB
18 - Demo - TensorFlow Hub and Retraining.mp4 31.3 MB
19 - Demo - Code Updates to Run the New Model.mp4 31.0 MB
17 - Demo - Preparing the Images.mp4 28.9 MB
27 - Demo - Using Facenet.mp4 23.6 MB
28 - Demo - Building the Classifier.mp4 20.6 MB
11 - Demo - Creating a Session and Using Tensorboard.mp4 15.1 MB
10 - Demo - Using a TensorFlow Model.mp4 11.5 MB
16 - Demo - Transfer Learning.mp4 11.1 MB
12 - Demo - Getting Predictions.mp4 9.4 MB
04 - ML and Imaging.mp4 8.3 MB
14 - Introduction.mp4 7.1 MB
03 - Some ML Imaging Basics.mp4 6.5 MB
22 - Localization.mp4 5.0 MB
02 - Introduction.mp4 4.5 MB
21 - Introduction.mp4 3.9 MB
05 - Over and Underfitting.mp4 3.0 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - Machine Learning Projects with TensorFlow 2.0.zip
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[ FreeCourseWeb.com ] Packt - Machine Learning Projects with TensorFlow 2.0.zip 885.0 MB
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05.Getting Production-Ready with TensorFlow/0502.Structuring the Code Base.mp4 77.8 MB
01.Understanding the Reinforcement Learning Framework/0102.Introduction to Reinforcement Learning.mp4 15.1 MB
01.Understanding the Reinforcement Learning Framework/0103.Common RL Tasks and the Reinforcement Process.mp4 16.2 MB
01.Understanding the Reinforcement Learning Framework/0104.Setting Up Environments Using Open AI’s Gym Framework.mp4 29.4 MB
02.Training a Smartcab Using Q-Learning/0201.The Taxi-v2 Environment.mp4 43.5 MB
02.Training a Smartcab Using Q-Learning/0202.Operating Taxi-v2 Using a Dumb Agent.mp4 24.3 MB
02.Training a Smartcab Using Q-Learning/0203.Introducing Reinforcement Q-Learning.mp4 14.0 MB
02.Training a Smartcab Using Q-Learning/0204.Implementing Q-Learning.mp4 31.9 MB
02.Training a Smartcab Using Q-Learning/0205.Q-Learning Agent in Action.mp4 39.6 MB
03.Balancing a Cartpole Using Q-Networks/0301.The Cartpole Environment.mp4 33.5 MB
03.Balancing a Cartpole Using Q-Networks/0302.Introducing Q-Networks.mp4 16.3 MB
03.Balancing a Cartpole Using Q-Networks/0303.TensorFlow Basics.mp4 45.6 MB
03.Balancing a Cartpole Using Q-Networks/0304.Implementing Q-Network.mp4 38.4 MB
03.Balancing a Cartpole Using Q-Networks/0305.Q-Network Agent in Action.mp4 18.4 MB
04.Deep Reinforcement Learning with TensorFlow/0401.Introducing Deep Q-Networks.mp4 14.5 MB
04.Deep Reinforcement Learning with TensorFlow/0402.The DQN Training Algorithm.mp4 11.4 MB
04.Deep Reinforcement Learning with TensorFlow/0403.Implementing DQN.mp4 49.6 MB
04.Deep Reinforcement Learning with TensorFlow/0404.DQN in Action.mp4 72.9 MB
04.Deep Reinforcement Learning with TensorFlow/0405.Dueling Double DQN.mp4 55.2 MB
05.Getting Production-Ready with TensorFlow/0501.Logging, Saving, and Visualizing.mp4 41.2 MB
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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Learn Object Detection with OpenCV and TensorFlow.zip
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[ DevCourseWeb.com ] Udemy - Learn Object Detection with OpenCV and TensorFlow.zip 814.1 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Oreilly - Python Application Series- Machine Learning Using Tensorflow.zip
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[ FreeCourseWeb.com ] Oreilly - Python Application Series- Machine Learning Using Tensorflow.zip 799.2 MB
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- 【影视】 [ CourseWikia.com ] Udemy - Deep Learning Real World Projects & TensorFlow Certification
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~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.mp4 182.2 MB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.mp4 114.4 MB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.mp4 96.9 MB
~Get Your Files Here !/7. Lecture 7 Memoization.mp4 92.7 MB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.mp4 81.7 MB
~Get Your Files Here !/4. Lecture 4 DNN Notations.mp4 68.1 MB
~Get Your Files Here !/9. Lecture 9 Activation Functions.mp4 66.8 MB
~Get Your Files Here !/1. Introduction to Biological Neuron.mp4 41.9 MB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.mp4 23.5 MB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.mp4 21.5 MB
~Get Your Files Here !/6. Lecture 6 Training a Multi Layered Perceptron.srt 28.3 kB
~Get Your Files Here !/9. Lecture 9 Activation Functions.srt 20.5 kB
~Get Your Files Here !/8. Lecture 8 Backpropagation Algorithm.srt 20.4 kB
~Get Your Files Here !/5. Lecture 5 Training a single Neuron model.srt 19.4 kB
~Get Your Files Here !/4. Lecture 4 DNN Notations.srt 14.5 kB
~Get Your Files Here !/7. Lecture 7 Memoization.srt 13.4 kB
~Get Your Files Here !/10. Lecture 10 Vanishing Gradient Problem.srt 12.8 kB
~Get Your Files Here !/1. Introduction to Biological Neuron.srt 9.4 kB
~Get Your Files Here !/2. Lecture 2 Logistic Regression and Neuron.srt 5.6 kB
~Get Your Files Here !/3. Lecture 3 Multi Layered Perceptron.srt 5.3 kB
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- 【压缩文件】 [ DevCourseWeb.com ] Oreilly - TensorFlow Lite for Mobile Development - Deploy Machine Learning Models on Embedded and Mobile Devices.zip
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[ DevCourseWeb.com ] Oreilly - TensorFlow Lite for Mobile Development - Deploy Machine Learning Models on Embedded and Mobile Devices.zip 753.4 MB
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- 【影视】 End-to-End Machine Learning with TensorFlow on GCP
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06. Operationalize the model/04. Lab 4 demo and review.mp4 62.1 MB
06. Operationalize the model/09. Lab 5 demo and review.mp4 61.0 MB
05. Build the Model/04. Lab 3 -demo and review.mp4 59.7 MB
04. Create the dataset/04. Lab 2-demo and review.mp4 49.7 MB
07. Summary/01. Summary.mp4 39.6 MB
06. Operationalize the model/12. Lab Solution BigQuery ML.mp4 37.0 MB
06. Operationalize the model/16. Lab 6 -demo and review.mp4 35.1 MB
01. Welcome to the Course/02. Course Introduction.mp4 33.9 MB
06. Operationalize the model/18. Lab 7 -demo and review.mp4 30.7 MB
03. Explore the Data/07. Lab 1 demo and review.mp4 30.3 MB
03. Explore the Data/01. Exploring the dataset.mp4 27.6 MB
05. Build the Model/01. Build the model.mp4 27.5 MB
05. Build the Model/02. Lab 3 Intro -Creating a TensorFlow model.mp4 26.8 MB
01. Welcome to the Course/01. Intro to Specialization.mp4 19.2 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/02. Fully managed ML.mp4 18.0 MB
03. Explore the Data/05. Lab 1 Intro -Exploring the dataset.mp4 17.7 MB
04. Create the dataset/01. Creating a dataset.mp4 17.6 MB
06. Operationalize the model/07. Lab 5 -Training on Cloud AI Platform.mp4 16.6 MB
02. Machine Learning (ML) on Google Cloud Platform (GCP)/01. Effective ML.mp4 14.6 MB
06. Operationalize the model/01. Operationalizing the model.mp4 14.5 MB
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- 【压缩文件】 [ CourseBoat.com ] Udemy - TensorFlow 2.x Essentials - 2021.zip
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[ CourseBoat.com ] Udemy - TensorFlow 2.x Essentials - 2021.zip 726.8 MB
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[ FreeCourseWeb.com ] Skillshare - What are Tensors in Tensorflow- Master the basics.zip 724.4 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip
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[ FreeCourseWeb.com ] End-to-End Machine Learning with TensorFlow on GCP.zip 724.0 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] Install TensorFlow-GPU on Windows 10 - cuDNN, CUDA toolkit, and Visual Studio for Application Development.zip
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[ 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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