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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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[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision_jp2.zip 287.0 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/2. Loading Pre-trained Networks in PyTorch (ResNets, DenseNets, MobileNET, VGG19).mp4 161.2 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
[FreeCourseSite.com] Udemy - Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4/18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/3. Loading Pre-trained Networks in Keras (ResNets, DenseNets, MobileNET, VGG19).mp4 116.8 MB

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【影视】 Tensorflow 2.0 Um Guia Completo sobre o novo TensorFlow

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16. Anexo III - Redes Neurais Recorrentes - teoria/4. Intuição prática.mp4 166.4 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/3. Long short term memory - LSTM.mp4 104.1 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/1. O que são Redes Neurais Recorrentes.mp4 103.1 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/2. A Equação de Bellman.mp4 95.1 MB
14. Anexo I - Redes Neurais Artificiais - teoria/9. Funções de ativação II.mp4 81.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/2. Introdução a redes neurais convolucionais II.mp4 80.5 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/1. Introdução a redes neurais convolucionais I.mp4 75.9 MB
7. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/12. Treinamento II.mp4 75.6 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/11. Replay de Experiência.mp4 75.2 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/12. Políticas de Seleções de Ações.mp4 74.6 MB
2. Básico do TensorFlow/1. Do TensorFlow 1.x para o TensorFlow 2.0 - Constantes, variáveis e tensores.mp4 72.9 MB
1. Introdução/1. Bem-vindo(a) ao curso!.mp4 72.3 MB
16. Anexo III - Redes Neurais Recorrentes - teoria/2. Problema do gradiente desaparecendo (vanish gradient problem).mp4 71.0 MB
10. API com Flask e TensorFlow 2.0/1. Configuração do Projeto.mp4 70.3 MB
17. Anexo IV - Aprendizagem por Reforço Profunda - teoria/4. Markov Decision Process - MDP.mp4 70.3 MB
5. Redes Neurais Recorrentes/1. Configuração do Projeto e Pré-processamento.mp4 66.1 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/6. Etapa 3 - flattening.mp4 65.8 MB
15. Anexo II - Redes Neurais Convolucionais - teoria/7. Etapa 4 - rede neural densa.mp4 65.3 MB
9. Pré-processamento de Dados com TFT (TensorFlow Transform)/5. Pipeline de Pré-processamento.mp4 63.7 MB
7. Aprendizagem por Reforço Profunda para Negociação no Mercado de Ações/6. IA Trader 5.mp4 63.4 MB

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【影视】 [ TutGator.com ] Udemy - Deep Learning With Keras And Tensorflow In R

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~Get Your Files Here !/3 - Building Classification Models with CNNS/7 - Classification Problem Binomial Response Building the Model.mp4 162.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/12 - Data Preparation.mp4 139.2 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/31 - Data Preparation.mp4 134.7 MB
~Get Your Files Here !/7 - Recognizing HandWritten Numbers/34 - Making Predictions on New Data.mp4 110.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/8 - Classification Problem Binomial Response Making Predictions.mp4 97.8 MB
~Get Your Files Here !/1 - Getting Started/1 - Introduction.mp4 89.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/11 - Classification Problem Multinomial Response Making Predictions.mp4 85.8 MB
~Get Your Files Here !/5 - Recognizing Animals/25 - Recognizing Bears Foxes and Mice Making Predictions.mp4 82.0 MB
~Get Your Files Here !/5 - Recognizing Animals/17 - Recognizing Bears From Foxes Data Preparation.mp4 75.9 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/15 - Making Predictions in the Test Set.mp4 75.6 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/13 - Creating the Training Set and the Test Set.mp4 72.8 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/6 - Classification Problem Binomial Response Data Preparation.mp4 66.9 MB
~Get Your Files Here !/5 - Recognizing Animals/22 - Recognizing Bears Foxes and Mice Data Preparation.mp4 65.2 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/10 - Classification Problem Multinomial Response Building the Model.mp4 62.3 MB
~Get Your Files Here !/5 - Recognizing Animals/20 - Recognizing Bears From Foxes Making Predictions.mp4 56.7 MB
~Get Your Files Here !/5 - Recognizing Animals/19 - Recognizing Bears From Foxes Building the Model.mp4 50.4 MB
~Get Your Files Here !/5 - Recognizing Animals/26 - Recognizing Bears Foxes and Mice Making Predictions on New Data.mp4 48.9 MB
~Get Your Files Here !/3 - Building Classification Models with CNNS/9 - Classification Problem Multinomial Response Data Preparation.mp4 48.4 MB
~Get Your Files Here !/4 - Recognizing Human Faces From Trees/14 - Building the Model.mp4 47.7 MB
~Get Your Files Here !/5 - Recognizing Animals/18 - Recognizing Bears From Foxes Training Set and Test Set.mp4 45.7 MB

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【压缩文件】 GetFreeCourses.Co-Udemy-Deep Learning for Computer Vision with TensorFlow 2

收录时间:2022-01-12 文档个数:158 文档大小:7.8 GB 最近下载:2025-05-15 人气:1598 磁力链接

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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【影视】 365 Data Science - Deep Learning with TensorFlow [CoursesGhar]

收录时间:2022-04-08 文档个数:90 文档大小:2.7 GB 最近下载:2025-05-16 人气:1574 磁力链接

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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【影视】 GetFreeCourses.Co-Udemy-TensorFlow Developer Certificate in 2021 Zero to Mastery

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7. Transfer Learning in TensorFlow Part 2 Fine tuning/18. Preparing Model 3 (our first fine-tuned model).mp4 207.9 MB
3. Neural network regression with TensorFlow/11. Evaluating a TensorFlow model part 3 (getting a model summary).mp4 202.2 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/15. Breaking our CNN model down part 5 Looking inside a Conv2D layer.mp4 195.1 MB
3. Neural network regression with TensorFlow/5. The major steps in modelling with TensorFlow.mp4 190.6 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/3. Downloading and turning our images into a TensorFlow BatchDataset.mp4 182.0 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/18. Making predictions on our test images and evaluating them.mp4 180.0 MB
4. Neural network classification in TensorFlow/9. Creating a function to view our model's not so good predictions.mp4 168.3 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/14. Building Model 2 (with a data augmentation layer and 10% of training data).mp4 167.5 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/20. Breaking our CNN model down part 10 Visualizing our augmented data.mp4 165.3 MB
8. Transfer Learning with TensorFlow Part 3 Scaling Up/14. Creating a confusion matrix for our model's 101 different classes.mp4 164.2 MB
4. Neural network classification in TensorFlow/18. Using callbacks to find a model's ideal learning rate.mp4 163.5 MB
3. Neural network regression with TensorFlow/25. Putting together what we've learned part 3 (improving our regression model).mp4 162.6 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/7. Building an end to end CNN Model.mp4 162.6 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/13. Building Model 1 (with a data augmentation layer and 1% of training data).mp4 160.4 MB
7. Transfer Learning in TensorFlow Part 2 Fine tuning/8. Getting a feature vector from our trained model.mp4 154.8 MB
4. Neural network classification in TensorFlow/15. Non-linearity part 5 Replicating non-linear activation functions from scratch.mp4 153.7 MB
6. Transfer Learning in TensorFlow Part 1 Feature extraction/10. Comparing Our Model's Results.mp4 150.9 MB
3. Neural network regression with TensorFlow/23. Putting together what we've learned part 1 (preparing a dataset).mp4 150.5 MB
4. Neural network classification in TensorFlow/26. Multi-class classification part 3 Building a multi-class classification model.mp4 149.7 MB
5. Computer Vision and Convolutional Neural Networks in TensorFlow/27. Multi-class CNN's part 1 Becoming one with the data.mp4 147.0 MB

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【影视】 [ FreeCourseWeb.com ] Deep Learning with TensorFlow - Insights and Innovations

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~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.mp4 81.9 MB
~Get Your Files Here !/04 - 3. Building Your First Model/02 - Preprocessing and feeding data into your model.mp4 67.2 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/02 - Deep dives into training metrics.mp4 53.4 MB
~Get Your Files Here !/05 - 4. Mastering TensorBoard/01 - Visualizing success with TensorBoard.mp4 46.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/05 - Save and reuse trained models.mp4 44.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/06 - Autoencoders A gentle introduction to generative models.mp4 42.3 MB
~Get Your Files Here !/04 - 3. Building Your First Model/08 - Solution Building blocks to TensorFlow mastery.mp4 42.1 MB
~Get Your Files Here !/04 - 3. Building Your First Model/03 - Monitor training and validation.mp4 34.0 MB
~Get Your Files Here !/04 - 3. Building Your First Model/01 - Let's create a TensorFlow model.mp4 23.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/05 - Solution Step-by-step statistical analysis.mp4 21.1 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/03 - Machine learning workflow.mp4 13.6 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/04 - Challenge Normalizing tensors.mp4 13.0 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/01 - TensorFlow essentials.mp4 12.8 MB
~Get Your Files Here !/03 - 2. Understanding TensorFlow/02 - TensorFlow simplified for NumPy users.mp4 10.1 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/01 - Codespaces Your ready-to-use workspace.mp4 9.5 MB
~Get Your Files Here !/04 - 3. Building Your First Model/07 - Challenge My first TensorFlow model.mp4 5.3 MB
~Get Your Files Here !/06 - Conclusion/01 - Next steps.mp4 4.6 MB
~Get Your Files Here !/02 - 1. Diving into Codespaces/02 - Setting up TensorFlow with Codespaces.mp4 4.3 MB
~Get Your Files Here !/01 - Introduction/01 - Welcome to deep learning with TensorFlow.mp4 3.7 MB
~Get Your Files Here !/04 - 3. Building Your First Model/04 - Success metrics.srt 37.3 kB

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【影视】 [Tutorialsplanet.NET] Udemy - TensorFlow 2.0 Practical Advanced

收录时间:2022-04-07 文档个数:175 文档大小:5.9 GB 最近下载:2025-05-11 人气:1528 磁力链接

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】 [ FreeCourseWeb.com ] Coursera - TensorFlow 2 for Deep Learning Specialization.zip

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[ FreeCourseWeb.com ] Coursera - TensorFlow 2 for Deep Learning Specialization.zip 1.6 GB

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【影视】 [ FreeCourseWeb.com ] Tensorflow with Python - Udemy

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~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.mp4 95.4 MB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.mp4 65.4 MB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.mp4 62.8 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.mp4 62.5 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4 62.3 MB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.mp4 61.1 MB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.mp4 50.5 MB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.mp4 30.9 MB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.mp4 29.1 MB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.mp4.vtx 545.8 kB
~Get Your Files Here !/01 Introduction/001 Introduction to Tensorflow with Python.en.srt 15.7 kB
~Get Your Files Here !/02 Installation/001 Installation of Tensorflow.en.srt 15.2 kB
~Get Your Files Here !/02 Installation/002 Basic Data Types for Tensorflow.en.srt 15.0 kB
~Get Your Files Here !/03 Implementing Linear Model/003 Optimization of Variable.en.srt 11.8 kB
~Get Your Files Here !/03 Implementing Linear Model/004 Implementing the Constructor Variable.en.srt 11.0 kB
~Get Your Files Here !/03 Implementing Linear Model/002 Creating a Python File.en.srt 9.2 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/002 Naming the Variable.en.srt 9.1 kB
~Get Your Files Here !/03 Implementing Linear Model/001 Implementing Simple Linear Model.en.srt 8.1 kB
~Get Your Files Here !/04 Addition and Random Number Calculation/001 Printing the Variable Result.en.srt 5.9 kB
~Get Your Files Here !/Bonus Resources.txt 357 Bytes

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【压缩文件】 [ FreeCourseWeb.com ] Advanced Deep Learning with TensorFlow 2 and Keras- Apply DL Techniques, GANs, VAEs, deep RL, SSL, object detection.zip

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[ FreeCourseWeb.com ] Advanced Deep Learning with TensorFlow 2 and Keras- Apply DL Techniques, GANs, VAEs, deep RL, SSL, object detection.zip 365.3 MB

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【影视】 [GigaCourse.Com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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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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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/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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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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05.Traffic Sign Classifier/0502.Implementing Traffic Sign Classifier.mp4 132.1 MB
01.Getting Started with TensorFlow/0104.Warming Up Examples.mp4 95.0 MB
04.Anomaly Detection Algorithm/0402.Server Computer's Behavior.mp4 75.4 MB
03.Linear Regression with Multi Variable/0303.Problem Solution.mp4 69.3 MB
02.Linear Regression with One Variable/0203.Problem Statement and Solution.mp4 55.0 MB
02.Linear Regression with One Variable/0201.What Is Machine Learning.mp4 19.8 MB
02.Linear Regression with One Variable/0202.Model Representation and Gradient Descent.mp4 15.0 MB
01.Getting Started with TensorFlow/0103.Installing TensorFlow.mp4 14.6 MB
01.Getting Started with TensorFlow/0101.The Course Overview.mp4 12.7 MB
01.Getting Started with TensorFlow/0102.Installing and Preparing the Environment.mp4 10.2 MB
04.Anomaly Detection Algorithm/0401.What Is Anomaly Detection.mp4 5.5 MB
05.Traffic Sign Classifier/0501.Introduction to Traffic Sign Classifier.mp4 3.7 MB
03.Linear Regression with Multi Variable/0301.Model Representation.mp4 2.2 MB
03.Linear Regression with Multi Variable/0302.Problem Statement.mp4 1.5 MB
Exercise Files/exercise_files.zip 208.3 kB
Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
FreeTutorials.Eu.html 104.7 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
How you can help Team-FTU.txt 259 Bytes

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10 NLP Fundamentals in TensorFlow/016 Visualising our model's learned word embeddings with TensorFlow's projector tool.mp4 296.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/023 Writing a preprocessing function to turn time series data into windows & labels.mp4 262.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/047 Model 7_ Putting together the pieces of the puzzle of the N-BEATS model.mp4 248.9 MB
11 Milestone Project 2_ SkimLit/006 Writing a preprocessing function to structure our data for modelling.mp4 228.6 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/041 Model 7_ Replicating the N-BEATS basic block with TensorFlow layer subclassing.mp4 226.8 MB
10 NLP Fundamentals in TensorFlow/015 Model 1_ Building, fitting and evaluating our first deep model on text data.mp4 217.9 MB
10 NLP Fundamentals in TensorFlow/009 Setting up a TensorFlow TextVectorization layer to convert text to numbers.mp4 209.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/018 Preparing Model 3 (our first fine-tuned model).mp4 207.9 MB
11 Milestone Project 2_ SkimLit/017 Creating a character-level tokeniser with TensorFlow's TextVectorization layer.mp4 206.9 MB
03 Neural network regression with TensorFlow/011 Evaluating a TensorFlow model part 3 (getting a model summary).mp4 202.4 MB
05 Computer Vision and Convolutional Neural Networks in TensorFlow/015 Breaking our CNN model down part 5_ Looking inside a Conv2D layer.mp4 195.0 MB
10 NLP Fundamentals in TensorFlow/021 Discussing the intuition behind Conv1D neural networks for text and sequences.mp4 193.3 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/042 Model 7_ Testing our N-BEATS block implementation with dummy data inputs.mp4 191.9 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/051 Model 8_ Making and evaluating predictions with our ensemble model.mp4 191.0 MB
03 Neural network regression with TensorFlow/005 The major steps in modelling with TensorFlow.mp4 190.7 MB
11 Milestone Project 2_ SkimLit/021 Model 4_ Building a multi-input model (hybrid token + character embeddings).mp4 190.4 MB
12 Time Series fundamentals in TensorFlow + Milestone Project 3_ BitPredict/050 Model 8_ Building, compiling and fitting an ensemble of models.mp4 188.8 MB
07 Transfer Learning in TensorFlow Part 2_ Fine tuning/003 Downloading and turning our images into a TensorFlow BatchDataset.mp4 181.7 MB
08 Transfer Learning with TensorFlow Part 3_ Scaling Up/018 Making predictions on our test images and evaluating them.mp4 180.0 MB
11 Milestone Project 2_ SkimLit/014 Model 1_ Building, fitting and evaluating a Conv1D with token embeddings.mp4 176.5 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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