- 【影视】 [ DevCourseWeb.com ] Udemy - Computer Vision and Deep Learning A-Z - Opencv Pytorch python
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~Get Your Files Here !/5. Object Detecting and tracking/3. Automatic Number Plate Detection and Recognition.mp4 53.7 MB
~Get Your Files Here !/3. Image Similarity Calculation/1. Image Similarity Calculation Code Implementation.mp4 47.8 MB
~Get Your Files Here !/5. Object Detecting and tracking/4. Face Detection using harcaschade.mp4 43.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/4. Customize Shape Drawing fillConvexPoly, fillPoly.mp4 40.3 MB
~Get Your Files Here !/4. Morphological image processing/1. Erosion and Dilation of images.mp4 37.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/1. Drawing With OpenCV.mp4 31.4 MB
~Get Your Files Here !/1. Introduction/5. ReadFeedFromVideo.mp4 22.7 MB
~Get Your Files Here !/5. Object Detecting and tracking/1. Find and Determine the shape of object using Contours in OpenCV.mp4 22.1 MB
~Get Your Files Here !/1. Introduction/4. Read Feed From Camara.mp4 21.0 MB
~Get Your Files Here !/5. Object Detecting and tracking/2. Image Masking.mp4 20.8 MB
~Get Your Files Here !/2. Basic Image Processing Operations/2. ImageTranslation.mp4 19.0 MB
~Get Your Files Here !/1. Introduction/1. What is an Image.mp4 18.6 MB
~Get Your Files Here !/1. Introduction/3. Converting Image to GayImage.mp4 15.5 MB
~Get Your Files Here !/1. Introduction/2. Reading an Image.mp4 10.2 MB
~Get Your Files Here !/2. Basic Image Processing Operations/3. ImageRotation.mp4 10.0 MB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_frontalface_alt_tree.xml 2.7 MB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_frontalface_default.xml 930.1 kB
~Get Your Files Here !/5. Object Detecting and tracking/carnumberplate/Cars2.png 913.9 kB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_profileface.xml 828.5 kB
~Get Your Files Here !/5. Object Detecting and tracking/HarrCascade/haarcascade_upperbody.xml 785.8 kB
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- 【压缩文件】 Pluralsight Path. Building Deep Learning Solutions with PyTorch (2020)
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Pluralsight Path. Building Deep Learning Solutions with PyTorch (2020) 2.9 GB
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05. Redes Neurais Convolucionais - Deep Learning com PyTorch/02. Convolução 1D/02 - Aplicação com Scipy.mp4 112.6 MB
02. Redes Neurais - Deep Learning com PyTorch/04. Funções de Ativação/03 - Ativações no PyTorch.mp4 107.1 MB
02. Redes Neurais - Deep Learning com PyTorch/02. Tensores/02 - Tensores.mp4 106.5 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/04 - Fluxo de treinamento.mp4 97.3 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/01. Conceitos Gerais/08 - Detecção e Segmentação.mp4 95.4 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/03. Convolução 2D/03 - Filtros Convolucionais.mp4 94.5 MB
06. Redes Neurais Recorrentes - Deep Learning com Pytorch/05. Sequências de Tamanho Variável/05 - Sequências empacotadas.mp4 93.8 MB
04. Treinando uma Rede Neural - Deep Learning com PyTorch/05. Datasets e Fluxo de Validação/03 - Fluxo de Validação.mp4 92.9 MB
04. Treinando uma Rede Neural - Deep Learning com PyTorch/04. DataLoader e Fluxo de Treinamento/03 - Datasets no Pytorch.mp4 90.1 MB
04. Treinando uma Rede Neural - Deep Learning com PyTorch/05. Datasets e Fluxo de Validação/02 - Datasets Customizados.mp4 88.7 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/05 - Extração de características.mp4 88.5 MB
02. Redes Neurais - Deep Learning com PyTorch/05. Redes Neurais/03 - Múltiplas Camadas de Perceptron.mp4 86.8 MB
02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/03 - Classificação Linear.mp4 83.6 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/01 - CNN do zero em PyTorch.mp4 80.5 MB
06. Redes Neurais Recorrentes - Deep Learning com Pytorch/05. Sequências de Tamanho Variável/03 - Representação do Dado.mp4 78.6 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/04. Camada Convolucional no PyTorch/04 - Implementando em PyTorch.mp4 78.4 MB
02. Redes Neurais - Deep Learning com PyTorch/03. Perceptron/02 - Classificação Linear.mp4 74.5 MB
02. Redes Neurais - Deep Learning com PyTorch/01. História das Redes Neurais/02 - História das Redes Neurais.mp4 73.3 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/03. Convolução 2D/02 - Aplicação com Scipy.mp4 72.7 MB
05. Redes Neurais Convolucionais - Deep Learning com PyTorch/06. Estratégias de Treino/06 - Fine-tuning.mp4 71.8 MB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Generative Adversarial Network (GAN) from scratch PyTorch
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~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1. CycleGAN from Scratch with PyTorch.mp4 835.4 MB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 555.0 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/2. 2-Full Implementations - DCGAN from Scratch With TensforFlow CelebA_Dataset.mp4 492.5 MB
~Get Your Files Here !/2. BiCycleGAN from Scratch with PyTorch/2. Full Implementation - BiCycleGAN from Scratch with PyTorch.mp4 478.5 MB
~Get Your Files Here !/4. DCGAN From Scratch with PyTorch/1. DCGAN From Scratch with PyTorch.mp4 335.8 MB
~Get Your Files Here !/1. Conditional GAN From Scratch with PyTorch/2. Full Implementation - Conditional GAN From Scratch with PyTorch.mp4 326.4 MB
~Get Your Files Here !/5. CycleGAN Paper Architecture Explanations/1. CycleGAN Paper Architecture Explanations.mp4 309.2 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/3. 3 Conv2dTranspose Explanations for DCGAN's Generator Function Filter-Kernel_Size.mp4 279.0 MB
~Get Your Files Here !/8. WGAN Without Gradient Penalty from Scratch with PyTorch/1. WGAN Without Gradient Penalty from Scratch with PyTorch.mp4 250.2 MB
~Get Your Files Here !/7. WGAN Architecture Paper Explanation/1. WGAN Architecture Paper Explanation.mp4 123.1 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/1. 1-Introduction DCGAN with TensorFlow.mp4 27.0 MB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/1. Introduction WGAN with Gradient_Penalty from Scratch with PyTorch.mp4 10.7 MB
~Get Your Files Here !/1. Conditional GAN From Scratch with PyTorch/1. Conditional GAN Introduction - from Scratch with PyTorch.mp4 5.1 MB
~Get Your Files Here !/2. BiCycleGAN from Scratch with PyTorch/1. Introduction BiCycleGAN from Scratch with PyTorch.mp4 4.0 MB
~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1.1 CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb 2.0 MB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/SOURCE-CODE-ALL-FILES/CODE_CycleGAN_From_Scratch_PyTorch/CycleGAN_From_Scratch_PyTorch_FINAL_Entire_NB.ipynb 2.0 MB
~Get Your Files Here !/3. DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/2.1 DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb 177.3 kB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/SOURCE-CODE-ALL-FILES/CODE-DCGAN from Scratch with TensorFlow - Generate fake Faces from CelebA Dataset/DCGAN_with_Tensorflow_Keras_Celeb_A_Dataset.ipynb 177.3 kB
~Get Your Files Here !/6. CycleGAN from Scratch with PyTorch/1. CycleGAN from Scratch with PyTorch.srt 137.3 kB
~Get Your Files Here !/9. WGAN with Gradient_Penalty from Scratch with PyTorch/2. Full Implementation WGAN with Gradient_Penalty from Scratch with PyTorch.srt 103.4 kB
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~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/9. Train an MNIST model using PyTorch Lightning II.mp4 124.2 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/10. Next steps.mp4 115.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/7. Train an MNIST model using PyTorch's nn module II.mp4 107.1 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/4. Train an MNIST model from scratch in plain PyTorch III.mp4 107.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/4. Gradient descent.mp4 105.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/3. Train an MNIST model from scratch in plain PyTorch II.mp4 101.0 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/2. Train an MNIST model from scratch in plain PyTorch I.mp4 100.9 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/6. Train an MNIST model using PyTorch's nn module I.mp4 89.1 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/8. Train an MNIST model using PyTorch Lightning I.mp4 87.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/11. Computational graph IV - backward pass III.mp4 86.8 MB
~Get Your Files Here !/5. Coding deep neural networks in PyTorch and PyTorch Lightning/5. Train an MNIST model from scratch in plain PyTorch IV.mp4 79.3 MB
~Get Your Files Here !/1. Deep learning - the big picture/1. Introduction.mp4 75.5 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/10. Computational graph III - backward pass II.mp4 66.6 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/9. Computational graph II - backward pass.mp4 50.4 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/12. Forward and backward pass recap and wrap up.mp4 48.2 MB
~Get Your Files Here !/2. Reinventing deep neural network from scratch/3. Network view.mp4 47.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/8. Batch normalization.mp4 46.0 MB
~Get Your Files Here !/3. How the model learns on its own - Back Propagation algorithm deep-div/5. Calculus detour - partial derivatives and gradient descent.mp4 44.2 MB
~Get Your Files Here !/4. How to make neural networks work in reality/4. Stochastic and mini-batch gradient descent.mp4 41.6 MB
~Get Your Files Here !/4. How to make neural networks work in reality/1. Vanishing gradient problem.mp4 40.2 MB
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lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
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lesson260.mp4 110.0 MB
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lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part1.rar 7.5 GB
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[FreeCourseSite.com] Udemy - PyTorch for Deep Learning in 2023 Zero to Mastery.part3.rar 7.5 GB
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[FreeCourseSite.com] Udemy - PyTorch Deep Learning and Artificial Intelligence.part1.rar 4.3 GB
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5. PyTorch Computer Vision/22. Model 2 Coding Our First Convolutional Neural Network with PyTorch.mp4 218.5 MB
10. PyTorch Paper Replicating/37. Bringing Our Own Vision Transformer to Life - Part 1 Gathering the Pieces.mp4 200.1 MB
10. PyTorch Paper Replicating/36. Creating a Transformer Encoder Layer with In-Built PyTorch Layer.mp4 197.9 MB
11. PyTorch Model Deployment/23. Creating a Function to Make and Time Predictions with Our Models.mp4 194.8 MB
11. PyTorch Model Deployment/49. Training Food Vision Big Our Biggest Model Yet!.mp4 193.2 MB
3. PyTorch Workflow/15. Reviewing the Steps in a Training Loop Step by Step.mp4 186.1 MB
6. PyTorch Custom Datasets/14. Writing a PyTorch Custom Dataset Class from Scratch to Load Our Images.mp4 184.8 MB
5. PyTorch Computer Vision/25. Mode 2 Using a Trick to Find the Input and Output Shapes of Each of Our Layers.mp4 183.3 MB
10. PyTorch Paper Replicating/23. Creating the Patch Embedding Layer with PyTorch.mp4 178.3 MB
6. PyTorch Custom Datasets/18. Exploring State of the Art Data Augmentation With Torchvision Transforms.mp4 174.4 MB
7. PyTorch Going Modular/9. Creating a Training Script to Train Our Model in One Line of Code.mp4 173.6 MB
10. PyTorch Paper Replicating/44. Getting a Pretrained Vision Transformer from Torchvision and Setting it Up.mp4 172.8 MB
10. PyTorch Paper Replicating/30. Turning Equation 2 into Code.mp4 171.8 MB
5. PyTorch Computer Vision/23. Model 2 Breaking Down Conv2D Step by Step.mp4 170.6 MB
11. PyTorch Model Deployment/56. Deploying Food Vision Big to Hugging Face Spaces.mp4 170.4 MB
3. PyTorch Workflow/18. Reviewing What Happens in a Testing Loop Step by Step.mp4 169.4 MB
4. PyTorch Neural Network Classification/10. Loss Function Optimizer and Evaluation Function for Our Classification Network.mp4 168.9 MB
5. PyTorch Computer Vision/31. Making Predictions and Importing Libraries to Plot a Confusion Matrix.mp4 168.6 MB
8. PyTorch Transfer Learning/12. Freezing the Base Layers of Our Model and Updating the Classifier Head.mp4 168.5 MB
10. PyTorch Paper Replicating/16. Calculating the Input and Output Shape of the Embedding Layer by Hand.mp4 168.4 MB
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lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
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lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
lesson99.mp4 122.9 MB
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lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson72.mp4 108.3 MB
lesson315.mp4 107.1 MB
lesson52.mp4 104.3 MB
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lesson201.mp4 103.1 MB
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lesson252.mp4 144.4 MB
lesson1.mp4 137.5 MB
lesson187.mp4 125.5 MB
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lesson246.mp4 122.0 MB
lesson289.mp4 121.1 MB
lesson116.mp4 120.0 MB
lesson227.mp4 119.7 MB
lesson119.mp4 113.6 MB
lesson210.mp4 111.6 MB
lesson260.mp4 110.0 MB
lesson232.mp4 108.9 MB
lesson72.mp4 108.3 MB
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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
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
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
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26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
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
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB
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16. Visualizing What CNN's Learn/6. Filter and Class Maximization.mp4 163.6 MB
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
2. Download Code and Setup Colab/1.1 Code - Modern Computer Vision_05_06_2022.zip 158.3 MB
9. OpenCV Projects/6. Neural Style Transfer with OpenCV.mp4 150.0 MB
22. Google DeepStream and Neural Style Transfer/5. Neural Style Transfer in Keras.mp4 147.9 MB
4. OpenCV - Image Segmentation/2. Moments, Sorting, Approximating and Matching Contours.mp4 146.6 MB
18. Building and Loading Advanced CNN Archiectures and Rank-N Accuracy/1. Implementing LeNet and AlexNet in Keras.mp4 146.1 MB
26. Face Recognition (Age, Gender, Emotion and Ethnicity) with Deep Learning/5. DeepFace - Age, Gender, Emotion, Ethnicity and Face Recognition.mp4 138.8 MB
21. Transfer Learning and Fine Tuning/4. Keras Feature Extraction.mp4 138.2 MB
29. Gun Detector - Scaled-YoloV4/1. Gun Detector - Scaled-YoloV4.mp4 134.7 MB
21. Transfer Learning and Fine Tuning/5. PyTorch Fine Tuning.mp4 127.5 MB
2. Download Code and Setup Colab/1.2 ebook slides - Modern Computer Vision.pdf 127.5 MB
9. OpenCV Projects/3. OCR with PyTesseract and EasyOCR (Text Detection).mp4 125.3 MB
3. OpenCV - Image Operations/9. Thresholding, Binarization & Adaptive Thresholding.mp4 122.9 MB
4. OpenCV - Image Segmentation/1. Contours - Drawing, Hierarchy and Modes.mp4 122.8 MB
19. Using Callbacks in Keras and PyTorch/2. Cats vs Dogs Classifier using Callbacks in PyTorch.mp4 120.6 MB
3. OpenCV - Image Operations/6. Scaling, Re-sizing, Interpolations and Cropping.mp4 120.5 MB
19. Using Callbacks in Keras and PyTorch/3. Cats vs Dogs Classifier using Callbacks in Keras.mp4 120.3 MB
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
5. OpenCV - Haar Cascade Classifiers/1. Face and Eye Detection with Haar Cascade Classifiers.mp4 115.6 MB
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[ DevCourseWeb.com ] Udemy - Modern Computer Vision and Deep Learning with Python and PyTorch 3.8 GB
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- 【影视】 [ DevCourseWeb.com ] Udemy - Deep Learning with Tensorflow and Pytorch (Tutorial Ongoing)
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~Get Your Files Here !/3. MNIST Example with Tensorflow/10. Pytorch MNIST Code Walk Through.mp4 160.1 MB
~Get Your Files Here !/1. Introduction/7. Convolutional Neural Network.mp4 152.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/2. MNIST Tensorflow- example code walk through.mp4 125.4 MB
~Get Your Files Here !/1. Introduction/4. Machine Learning quick overview.mp4 105.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/3. MNIST Tensorflow- running in machine.mp4 100.5 MB
~Get Your Files Here !/1. Introduction/8. Deep Learning Fundamentals.mp4 88.3 MB
~Get Your Files Here !/1. Introduction/6. BackPropagation.mp4 87.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/3. Install Tensorflow - Hands-on.mp4 82.1 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/6. Loss Functions Classification-Cross Entropy-Sigmoid and Softmax.mp4 64.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/8. Optimizers-GD, SGD, Adagrad, Adam.mp4 60.5 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/9. Callback Functions-Checkpoint, Learning Rate Scheduler.mp4 60.4 MB
~Get Your Files Here !/1. Introduction/5. Artifical Neural Network or ANN.mp4 48.0 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/4. Data preparation, Datagenerator and Model.mp4 39.8 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/5. Loss Functions Regression- MAE, MSE.mp4 27.6 MB
~Get Your Files Here !/3. MNIST Example with Tensorflow/1. MNIST Introduction.mp4 26.5 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/4. Install Pytorch - Hands-on- Part 1.mp4 23.4 MB
~Get Your Files Here !/1. Introduction/3. Difference between Artificial Intelligence, Machine Learning and Deep Learning.mp4 21.7 MB
~Get Your Files Here !/1. Introduction/2. Quick Demo of whisper+gradio speech to text conversion!.mp4 17.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/5. Install Pytorch - Hands-on- Part 2.mp4 14.2 MB
~Get Your Files Here !/2. Tensorflow and Pytorch Basics/2. Install Tensorflow and Pytorch- Steps.mp4 11.9 MB
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19. Setting up your Environment (FAQ by Student Request)/3. Anaconda Environment Setup.mp4 365.3 MB
19. Setting up your Environment (FAQ by Student Request)/4. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 227.1 MB
19. Setting up your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 220.4 MB
8. Natural Language Processing (NLP)/7. Text Classification with LSTMs (V2).mp4 185.4 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/11. A More Challenging Sequence.mp4 168.4 MB
21. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 157.1 MB
21. Effective Learning Strategies for Machine Learning (FAQ by Student Request)/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 154.5 MB
5. Feedforward Artificial Neural Networks/9. ANN for Image Classification.mp4 149.3 MB
4. Machine Learning and Neurons/9. Classification Notebook.mp4 147.3 MB
9. Recommender Systems/3. Recommender Systems with Deep Learning Code (pt 1).mp4 133.7 MB
3. Google Colab/2. Uploading your own data to Google Colab.mp4 133.0 MB
4. Machine Learning and Neurons/6. Moore's Law Notebook.mp4 132.8 MB
20. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Proof that using Jupyter Notebook is the same as not using it.mp4 124.8 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 115.8 MB
5. Feedforward Artificial Neural Networks/10. ANN for Regression.mp4 108.9 MB
20. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code Yourself (part 1).mp4 108.7 MB
10. Transfer Learning for Computer Vision/5. Transfer Learning Code (pt 1).mp4 104.8 MB
9. Recommender Systems/4. Recommender Systems with Deep Learning Code (pt 2).mp4 101.7 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/8. Paying Attention to Shapes.mp4 96.2 MB
7. Recurrent Neural Networks, Time Series, and Sequence Data/16. Stock Return Predictions using LSTMs (pt 3).mp4 94.6 MB
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