- 【影视】 [FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2022 Zero to Mastery
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[FreeCourseSite.com] Udemy - TensorFlow Developer Certificate in 2022 Zero to Mastery 29.1 GB
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- 【影视】 GetFreeCourses.Co-Udemy-Tensorflow 2.0 Deep Learning and Artificial Intelligence
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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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~Get Your Files Here !/01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 153.4 MB
~Get Your Files Here !/02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 120.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 112.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 93.2 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 91.7 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 90.4 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 74.5 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 68.8 MB
~Get Your Files Here !/10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 62.7 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 61.4 MB
~Get Your Files Here !/17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 60.3 MB
~Get Your Files Here !/04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 59.3 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 57.0 MB
~Get Your Files Here !/16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 53.9 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 50.6 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 48.7 MB
~Get Your Files Here !/06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 46.6 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 45.8 MB
~Get Your Files Here !/15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 45.4 MB
~Get Your Files Here !/07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 44.4 MB
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05. Applying the Machine Learning Workflow with TensorFlow/6. Training the Model.mp4 16.2 MB
09. Deploying Your Neural Network/4. Using TensorFlow Model Serving.mp4 14.0 MB
05. Applying the Machine Learning Workflow with TensorFlow/4. Preparing the Data.mp4 13.7 MB
07. Building and Training Your First Neural Network/2. Getting and Preparing the Data.mp4 11.3 MB
08. Monitoring and Improving Neural Network Performance/2. TensorBoard Setup.mp4 11.0 MB
08. Monitoring and Improving Neural Network Performance/4. Reducing Training Data Overfitting.mp4 10.6 MB
05. Applying the Machine Learning Workflow with TensorFlow/1. Setting up the Example.mp4 10.5 MB
06. Understanding Neural Networks/4. Activation Functions.mp4 9.4 MB
08. Monitoring and Improving Neural Network Performance/3. Monitoring Your Trained Model’s Performance.mp4 9.4 MB
03. Setting up the TensorFlow Environment/5. Sequencing Code Execution.mp4 9.3 MB
07. Building and Training Your First Neural Network/4. Demo - Creating the Model.mp4 9.2 MB
05. Applying the Machine Learning Workflow with TensorFlow/5. Creating the Model.mp4 8.8 MB
08. Monitoring and Improving Neural Network Performance/6. Early Stopping.mp4 8.7 MB
05. Applying the Machine Learning Workflow with TensorFlow/2. Defining the Problem and Getting Data.mp4 8.6 MB
06. Understanding Neural Networks/6. Predicting with an Untrained Neural Network.mp4 8.3 MB
06. Understanding Neural Networks/7. Training a Neural Network.mp4 8.3 MB
05. Applying the Machine Learning Workflow with TensorFlow/7. Improving Performance.mp4 8.0 MB
07. Building and Training Your First Neural Network/1. Building a Neural Network in TensorFlow.mp4 7.9 MB
05. Applying the Machine Learning Workflow with TensorFlow/3. Exploring the Data.mp4 7.9 MB
07. Building and Training Your First Neural Network/3. Creating the Model.mp4 7.8 MB
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- 【影视】 [CourseRecap.Com] - Tensorflow Tutorial Hands-on AI development with Tensorflow
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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
5. Section 5/8. Facial Recognition using PCA.mp4 156.4 MB
3. Section 3/4. Backpropagation.mp4 154.3 MB
3. Section 3/6. Digit Classification.mp4 151.4 MB
2. Section 2/3. Linear Regression - Theory.mp4 151.1 MB
2. Section 2/1. Decision Trees - Theory.mp4 145.5 MB
4. Section 4/2. Convolution in CNN (part1).mp4 143.9 MB
4. Section 4/3. Convolution in CNN (part2).mp4 138.1 MB
2. Section 2/6. Logistic Regression - Implementation.mp4 123.0 MB
4. Section 4/4. Layers of CNN.mp4 119.4 MB
1. Section 1/6. Intro to Machine Learning.mp4 117.9 MB
1. Section 1/3. Graphs.mp4 117.7 MB
3. Section 3/3. Complex Decision Boundaries.mp4 117.1 MB
5. Section 5/7. Principal Component Analysis.mp4 115.2 MB
4. Section 4/1. Introduction.mp4 114.4 MB
2. Section 2/5. Logistic Regression - Theory.mp4 112.8 MB
3. Section 3/2. Gates and Forward Propagation.mp4 109.3 MB
2. Section 2/4. Linear Regression - Implementation.mp4 109.1 MB
5. Section 5/2. K-Means Algorithm (Part 2).mp4 108.2 MB
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- 【影视】 [Tutorialsplanet.NET] 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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- 【影视】 Tensorflow 2.0 Deep Learning and Artificial Intelligence
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[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
[TutsNode.com] - Tensorflow 2.0 Deep Learning and Artificial Intelligence/6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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~Get Your Files Here !/1. Chapter 1/18. 14. Classes And Objects.mp4 234.1 MB
~Get Your Files Here !/1. Chapter 1/15. 11. Loops.mp4 175.2 MB
~Get Your Files Here !/1. Chapter 1/7. 03. Operators.mp4 169.3 MB
~Get Your Files Here !/1. Chapter 1/19. 15. Inheritance Examples.mp4 137.0 MB
~Get Your Files Here !/1. Chapter 1/14. 10. If Statement Examples.mp4 123.8 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/3. 02 Clean Data With Missing Values.mp4 123.2 MB
~Get Your Files Here !/1. Chapter 1/9. 05. List Examples.mp4 115.1 MB
~Get Your Files Here !/1. Chapter 1/5. 01. Variables.mp4 111.6 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/2. 02 Clean And Preprocess Heart Disease Data For Machine Learning.mp4 109.1 MB
~Get Your Files Here !/3. 06 Build Regression Machine Learning Models to Detect Diabetes/3. 04 Select Top Features Via Variance Threshold.mp4 108.0 MB
~Get Your Files Here !/1. Chapter 1/11. 07. Dictionaries Examples.mp4 91.5 MB
~Get Your Files Here !/1. Chapter 1/16. 12. Functions.mp4 90.6 MB
~Get Your Files Here !/1. Chapter 1/27. 02 What Is Regression.mp4 87.8 MB
~Get Your Files Here !/10. 13 Prepare heart disease data for machine learning/1. 01 Load Data Via Data File.mp4 87.1 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/2. 01 Load And Analyze Data.mp4 84.3 MB
~Get Your Files Here !/1. Chapter 1/20. 16. Static Members Examples.mp4 82.4 MB
~Get Your Files Here !/1. Chapter 1/17. 13. Parameters And Return Values Examples.mp4 82.3 MB
~Get Your Files Here !/2. 05 Build a K Nearest neighbors regression model to predict diabetes/4. 02 Build A K Nearest Neighbors Regression Model To Predict Diabetes.mp4 81.3 MB
~Get Your Files Here !/4. 07 Data analysis and transformation on blood cell data/2. 01 Load And Analyze Blood Cell Data.mp4 78.6 MB
~Get Your Files Here !/13. 16 Build a neural network to find malaria in cells/6. 05 Train And Evaluate Model Accuracy.mp4 76.6 MB
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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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18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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磁力链接
18. Setting up your Environment (FAQ by Student Request)/2. Anaconda Environment Setup.mp4 189.7 MB
18. Setting up your Environment (FAQ by Student Request)/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment (FAQ by Student Request)/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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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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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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~Get Your Files Here !/09 - Deployment of model on Webcam, Android and Video Feed/001 Deployment - Android, Webcam and Video Feed.mp4 227.5 MB
~Get Your Files Here !/03 - Tensorflow GPU installation Part 2 (Optional)/001 Tensorflow GPU installation - NVIDIA Graphic Card Configutation.mp4 208.5 MB
~Get Your Files Here !/05 - Custom Dataset Preparation/001 Dataset Preparation & Labelling tool.mp4 163.3 MB
~Get Your Files Here !/08 - Export Trained graph/001 Export training into graph and test on Web server.mp4 163.2 MB
~Get Your Files Here !/02 - Tensorflow Installation Part 1/001 Tensorflow CPU installation Python Package AnacondaMiniconda.mp4 155.3 MB
~Get Your Files Here !/06 - Dataset Conversion/001 Convert dataset to TF-Record (Binary Conversion).mp4 149.7 MB
~Get Your Files Here !/07 - Training the Model/001 Training the model (TF record).mp4 138.4 MB
~Get Your Files Here !/01 - Introduction/001 Introduction to Roadmap of the Course.mp4 99.0 MB
~Get Your Files Here !/04 - Tensorflow Framework/001 Tensorflow Garden Repository Installation.mp4 72.0 MB
~Get Your Files Here !/01 - Introduction/36911390-1.Introduction-to-the-Object-Detection-Course.pptx 13.3 MB
~Get Your Files Here !/02 - Tensorflow Installation Part 1/38013664-Course-Files.pdf 1.0 MB
~Get Your Files Here !/03 - Tensorflow GPU installation Part 2 (Optional)/35731396-Course-Files.pdf 1.0 MB
~Get Your Files Here !/04 - Tensorflow Framework/35731398-Course-Files.pdf 1.0 MB
~Get Your Files Here !/05 - Custom Dataset Preparation/35731402-Course-Files.pdf 1.0 MB
~Get Your Files Here !/06 - Dataset Conversion/35731404-Course-Files.pdf 1.0 MB
~Get Your Files Here !/07 - Training the Model/35731406-Course-Files.pdf 1.0 MB
~Get Your Files Here !/08 - Export Trained graph/35731408-Course-Files.pdf 1.0 MB
~Get Your Files Here !/09 - Deployment of model on Webcam, Android and Video Feed/35731410-Course-Files.pdf 1.0 MB
~Get Your Files Here !/Bonus Resources.txt 386 Bytes
Get Bonus Downloads Here.url 182 Bytes
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18/2. Anaconda Environment Setup.mp4 189.7 MB
18/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 157.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 130.1 MB
20/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 113.4 MB
20/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 110.7 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 110.1 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 103.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 94.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 91.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 87.0 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 84.5 MB
4. Feedforward Artificial Neural Networks/5. Activation Functions.mp4 84.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/9. GRU and LSTM (pt 1).mp4 83.7 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 83.6 MB
20/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 83.6 MB
10. GANs (Generative Adversarial Networks)/2. GAN Code.mp4 82.1 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 80.6 MB
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. Beginner's Coding Tips.mp4 79.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 77.7 MB
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~Get Your Files Here !/3. Transfer Learning/011. Transfer learning with TensorFlow Hub.mp4 48.6 MB
~Get Your Files Here !/4. Monitoring the Training Process/016. Using TensorBoard.mp4 42.3 MB
~Get Your Files Here !/4. Monitoring the Training Process/014. Using ModelCheckpoint.mp4 39.0 MB
~Get Your Files Here !/2. Neural Networks and Images/004. Review of neural networks.mp4 36.5 MB
~Get Your Files Here !/2. Neural Networks and Images/007. Solution Experiment with hyperparameters.mp4 32.3 MB
~Get Your Files Here !/2. Neural Networks and Images/005. Working with color images and neural networks.mp4 29.6 MB
~Get Your Files Here !/3. Transfer Learning/012. TensorFlow Hub for CIFAR-10.mp4 24.2 MB
~Get Your Files Here !/1. Introduction/003. What is TensorFlow.mp4 23.1 MB
~Get Your Files Here !/3. Transfer Learning/009. TensorFlow Hub.mp4 22.1 MB
~Get Your Files Here !/2. Neural Networks and Images/006. Challenge Experiment with hyperparameters.mp4 16.8 MB
~Get Your Files Here !/3. Transfer Learning/010. What is transfer learning.mp4 14.8 MB
~Get Your Files Here !/3. Transfer Learning/008. Why the poor performance with neural networks.mp4 11.0 MB
~Get Your Files Here !/4. Monitoring the Training Process/013. Monitoring the training process.mp4 7.8 MB
~Get Your Files Here !/4. Monitoring the Training Process/015. Working with EarlyStopping.mp4 7.5 MB
~Get Your Files Here !/1. Introduction/001. Work with gray and color images using transfer learning and fine-tuning.mp4 5.9 MB
~Get Your Files Here !/1. Introduction/002. What you should know.mp4 4.0 MB
~Get Your Files Here !/5. Conclusion/017. Next steps.mp4 3.4 MB
~Get Your Files Here !/3. Transfer Learning/011. Transfer learning with TensorFlow Hub.en.srt 9.2 kB
~Get Your Files Here !/4. Monitoring the Training Process/016. Using TensorBoard.en.srt 8.2 kB
~Get Your Files Here !/2. Neural Networks and Images/004. Review of neural networks.en.srt 7.0 kB
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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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~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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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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1. Installation and Setup/4.1 CV-TF1.X-2.X.zip 522.3 MB
5. Object Detection/16.1 cudnn-10.0-linux-x64-v7.5.0.56.tgz 432.8 MB
5. Object Detection/20.3 yolov4.zip 239.6 MB
5. Object Detection/20. Train your custom dataset with Yolov4 in Google Colab.mp4 190.1 MB
5. Object Detection/14.4 yolov2_weights.zip 189.3 MB
5. Object Detection/12.4 yolo.zip 189.3 MB
5. Object Detection/9. Train Blood Cells Dataset in TensorFlow Object Detection part2.mp4 185.0 MB
5. Object Detection/7. TensorFlow2 Object Detection API on images and videos.mp4 176.8 MB
4. Creating an Image Datasets/3. Open Images Dataset V6 and Voxel FiftyOne.mp4 175.0 MB
5. Object Detection/10. The YOLO (You only look once) Model.mp4 168.9 MB
4. Creating an Image Datasets/2. Scraping images with Selenium.mp4 168.2 MB
5. Object Detection/6. SSD (Single Shot Detector).mp4 168.0 MB
5. Object Detection/12. Running YOLO v2 on images.mp4 167.6 MB
3. Convolutional Neural Networks/15.1 covid19.zip 164.9 MB
5. Object Detection/20.2 yolov4.conv.137.zip 158.0 MB
5. Object Detection/16.2 darknet53.conv.74.zip 151.1 MB
5. Object Detection/13. YOLOv2 on video and webcam.mp4 149.8 MB
5. Object Detection/16. Train your own dataset in Yolov3-Colab-Part 1.mp4 145.4 MB
4. Creating an Image Datasets/4. Roboflow.mp4 143.4 MB
3. Convolutional Neural Networks/20. Inception Module with TensorFlow.mp4 141.8 MB
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