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- 【影视】 [GigaCourse.Com] Udemy - TensorFlow 2.0 Practical Advanced
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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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- 【压缩文件】 [DesireCourse.Net] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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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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- 【压缩文件】 [ FreeCourseWeb.com ] Packt - Applied Deep Learning with TensorFlow and Google Cloud AI.zip
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[ FreeCourseWeb.com ] Packt - Applied Deep Learning with TensorFlow and Google Cloud AI.zip 1.9 GB
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- 【压缩文件】 [FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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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 35.8 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 34.4 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.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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- 【压缩文件】 [ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip
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[ DevCourseWeb.com ] Udemy - Hands-On Machine Learning and Data Science in TensorFlow JS.zip 4.1 GB
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- 【压缩文件】 [GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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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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- 【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】 [ TutGee.com ] Linkedin - TensorFlow - Working with NLP
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~Get Your Files Here !/4. Transformers and BERT/017. Fine-tuning BERT.mp4 72.3 MB
~Get Your Files Here !/4. Transformers and BERT/013. BERT model and tokenization.mp4 32.4 MB
~Get Your Files Here !/3. BERT and Transfer Learning/009. Bias in BERT and GPT.mp4 30.5 MB
~Get Your Files Here !/2. NLP and Transformers/006. Transformers, their use, and history.mp4 28.7 MB
~Get Your Files Here !/3. BERT and Transfer Learning/011. Transfer learning.mp4 25.7 MB
~Get Your Files Here !/2. NLP and Transformers/004. What is NLP.mp4 24.9 MB
~Get Your Files Here !/1. Introduction/003. What is TensorFlow.mp4 22.6 MB
~Get Your Files Here !/4. Transformers and BERT/014. Tokenizers.mp4 20.6 MB
~Get Your Files Here !/2. NLP and Transformers/005. Transformers for NLP.mp4 19.4 MB
~Get Your Files Here !/3. BERT and Transfer Learning/010. How was BERT trained.mp4 18.9 MB
~Get Your Files Here !/4. Transformers and BERT/015. Self-attention.mp4 17.9 MB
~Get Your Files Here !/2. NLP and Transformers/008. Solution NLP model size.mp4 14.2 MB
~Get Your Files Here !/4. Transformers and BERT/012. Transformer Architecture overview.mp4 13.7 MB
~Get Your Files Here !/5. Conclusion/018. Next steps.mp4 7.7 MB
~Get Your Files Here !/4. Transformers and BERT/016. Multi-head attention and feedforward network.mp4 7.7 MB
~Get Your Files Here !/1. Introduction/001. Why TensorFlow.mp4 7.2 MB
~Get Your Files Here !/2. NLP and Transformers/007. Challenge NLP model size.mp4 7.0 MB
~Get Your Files Here !/1. Introduction/002. What you should know.mp4 4.6 MB
~Get Your Files Here !/4. Transformers and BERT/017. Fine-tuning BERT.en.srt 13.6 kB
~Get Your Files Here !/4. Transformers and BERT/013. BERT model and tokenization.en.srt 6.5 kB
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- 【影视】 [DesireCourse.Net] Udemy - Neural Networks (ANN) using Keras and TensorFlow in Python
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11. Python - Solving a Regression problem using ANN/1. Building Neural Network for Regression Problem.mp4 163.5 MB
13. Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
4. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
15. Add-on 1 Data Preprocessing/13. Bi-variate analysis and Variable transformation.mp4 105.3 MB
16. Add-on 2 Classic ML models - Linear Regression/3. Assessing accuracy of predicted coefficients.mp4 96.6 MB
12. Complex ANN Architectures using Functional API/1. Using Functional API for complex architectures.mp4 96.6 MB
3. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.7 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
15. Add-on 1 Data Preprocessing/18. Correlation Analysis.mp4 75.1 MB
15. Add-on 1 Data Preprocessing/9. Outlier Treatment in Python.mp4 73.6 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB
16. Add-on 2 Classic ML models - Linear Regression/9. Multiple Linear Regression in Python.mp4 73.1 MB
15. Add-on 1 Data Preprocessing/3. The Dataset and the Data Dictionary.mp4 72.7 MB
2. Setting up Python and Jupyter Notebook/2. Opening Jupyter Notebook.mp4 68.3 MB
2. Setting up Python and Jupyter Notebook/5. Strings in Python Python Basics.mp4 67.6 MB
16. Add-on 2 Classic ML models - Linear Regression/5. Simple Linear Regression in Python.mp4 66.5 MB
5. Important concepts Common Interview questions/1. Some Important Concepts.mp4 65.2 MB
15. Add-on 1 Data Preprocessing/7. EDD in Python.mp4 64.8 MB
14. Hyperparameter Tuning/1. Hyperparameter Tuning.mp4 63.6 MB
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- 【影视】 [DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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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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- 【压缩文件】 [ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip
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[ FreeCourseWeb.com ] Udemy - Introduction to Deep Learning with TensorFlow 2.0.zip 2.5 GB
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2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 39.7 MB
1. Browser-based Models with TensorFlow.js/browser-based-models-tensorflow - 19 - MNIST Classifier In Code.mp4 21.8 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 39 - A conversation with Andrew Ng.mp4 21.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 01 - Introduction, A conversation with Andrew Ng.mp4 19.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 15 - Introduction, A conversation with Andrew.mp4 18.6 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 34 - Introduction, A conversation with Andrew Ng.mp4 18.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 52 - Introduction, A conversation with Andrew Ng.mp4 18.0 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 33 - Notebook walkthrough.mp4 17.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 24 - Introduction, A conversation with Andrew Ng.mp4 17.3 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 13 - Introduction, A conversation with Andrew Ng.mp4 16.5 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 14 - Transfer learning with TFLite.mp4 16.1 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 01 - A conversation with Andrew Ng.mp4 15.8 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 35 - Training on mobile devices.mp4 15.3 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 26 - Notebook Walkthrough.mp4 14.6 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 45 - Looking at the code for the image classification App.mp4 14.3 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 38 - Looking at the App in Xcode.mp4 14.1 MB
2. Device-based Models with TensorFlow Lite/device-based-models-tensorflow - 25 - Demo of camera image classifier.mp4 14.0 MB
4. Advanced Deployment Scenarios with TensorFlow/advanced-deployment-scenarios-tensorflow - 38 - Maintaining user privacy.mp4 13.6 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 58 - Going Through the Colab - Part 2.mp4 13.4 MB
3. Data Pipelines with TensorFlow Data Services/data-pipelines-tensorflow - 60 - A conversation with Andrew Ng.mp4 13.3 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 470.9 MB
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01 Outline and Review/001 Introduction and Outline.mp4 3.1 MB
01 Outline and Review/002 Review of Important Concepts.mp4 6.0 MB
01 Outline and Review/003 Where to get the code and data for this course.mp4 5.9 MB
01 Outline and Review/004 How to Succeed in this Course.mp4 10.0 MB
01 Outline and Review/005 How to load the SVHN data and benchmark a vanilla deep network.mp4 10.5 MB
02 Convolution/006 What is convolution.mp4 9.0 MB
02 Convolution/007 Convolution example with audio Echo.mp4 12.7 MB
02 Convolution/008 Convolution example with images Gaussian Blur.mp4 14.7 MB
02 Convolution/009 Convolution example with images Edge Detection.mp4 8.3 MB
02 Convolution/010 Write Convolution Yourself.mp4 19.4 MB
02 Convolution/011 Alternative Views on Convolution.mp4 10.3 MB
03 Convolutional Neural Network Description/012 Translational Invariance.mp4 3.8 MB
03 Convolutional Neural Network Description/013 Architecture of a CNN.mp4 8.9 MB
03 Convolutional Neural Network Description/014 Relationship to Biology.mp4 4.1 MB
03 Convolutional Neural Network Description/015 Convolution and Pooling Gradients.mp4 4.4 MB
03 Convolutional Neural Network Description/016 LeNet - How the Shapes Go Together.mp4 22.7 MB
04 Convolutional Neural Network in Theano/017 Theano - Building the CNN components.mp4 7.3 MB
04 Convolutional Neural Network in Theano/018 Theano - Full CNN and Test on SVHN.mp4 41.3 MB
04 Convolutional Neural Network in Theano/019 Visualizing the Learned Filters.mp4 9.4 MB
05 Convolutional Neural Network in TensorFlow/020 TensorFlow - Building the CNN components.mp4 6.2 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] TensorFlow 1.x Deep Learning Cookbook- Over 90 unique recipes to solve artificial-intelligence driven problems with Python.zip
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[ FreeCourseWeb.com ] TensorFlow 1.x Deep Learning Cookbook- Over 90 unique recipes to solve artificial-intelligence driven problems with Python.zip 106.4 MB
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- 【压缩文件】 [ FreeCourseWeb.com ] DeepLearning.AI TensorFlow Developer Professional Certificate.zip
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[ FreeCourseWeb.com ] DeepLearning.AI TensorFlow Developer Professional Certificate.zip 1.3 GB
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- 【压缩文件】 [FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python
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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.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
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 47.1 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 35.8 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 34.4 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
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- 【影视】 GetFreeCourses.Co-Udemy-TensorFlow 2.0 Practical Advanced
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收录时间:2022-04-22
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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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- 【影视】 [DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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收录时间:2021-03-30
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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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