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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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~Get Your Files Here !/3. HOW TO CREATE DATASET FOR OBJECT DETECTION.mp4 98.7 MB
~Get Your Files Here !/9. EXECUTE THE PROJECT IN PYCHARM IDE.mp4 71.5 MB
~Get Your Files Here !/8. INSTALL THE PYCHARM IDE AND CODE EXPLAINATION.mp4 65.2 MB
~Get Your Files Here !/5. VALIDATE AND TESTING THE MODEL.mp4 59.3 MB
~Get Your Files Here !/6. DOWNLOAD THE MODEL AND FEATURES.mp4 52.8 MB
~Get Your Files Here !/4. TRAIN THE DATASET INTO TENSORFLOW MODEL.mp4 36.5 MB
~Get Your Files Here !/2. INTRO TO PROJECT FIRST CLASS.mp4 32.3 MB
~Get Your Files Here !/7. EXTRACT THE MODEL AND FILES.mp4 18.5 MB
~Get Your Files Here !/10. CONCLUSION FOR THE PROJECT.mp4 13.6 MB
~Get Your Files Here !/1. INTRODUCTION TO COURSE PROJECT.mp4 13.6 MB
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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.8 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.4 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB

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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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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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~Get Your Files Here !/1. Deep Learning Basics.mp4 173.0 MB
~Get Your Files Here !/12. Transfer Learning.mp4 136.6 MB
~Get Your Files Here !/2. Basic Maths for Deep Learning.mp4 117.8 MB
~Get Your Files Here !/14. Augmentation.mp4 115.1 MB
~Get Your Files Here !/9. Augmentation Technique.mp4 115.1 MB
~Get Your Files Here !/16. Recurrent neural networks.mp4 109.2 MB
~Get Your Files Here !/3. Python Introduction.mp4 76.1 MB
~Get Your Files Here !/10. Deep Learning Part 1.mp4 68.9 MB
~Get Your Files Here !/17. Long Short-Term Memory RNN.mp4 68.8 MB
~Get Your Files Here !/13. TensorBoard.mp4 61.6 MB
~Get Your Files Here !/11. Deep Learning Part 2.mp4 58.3 MB
~Get Your Files Here !/5. Set Data Type.mp4 54.9 MB
~Get Your Files Here !/6. Convolutional Neural Network.mp4 53.3 MB
~Get Your Files Here !/7. Adam's Optimiser.mp4 38.0 MB
~Get Your Files Here !/4. List Tuple Data Types.mp4 38.0 MB
~Get Your Files Here !/8. Custom CallBacks.mp4 35.5 MB
~Get Your Files Here !/15. Bi- Directional RNN.mp4 33.1 MB
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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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~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
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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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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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【影视】 Machine Learning with TensorFlow [Video]

收录时间:2020-07-09 文档个数:29 文档大小:195.0 MB 最近下载:2025-02-18 人气:2848 磁力链接

1.5-Installation on WindowsLinux - Machine Learning with TensorFlow [Video].mp4 16.3 MB
3.4-The Graph Explorer - Machine Learning with TensorFlow [Video].mp4 15.7 MB
1.3-Installation on Mac OSX - Machine Learning with TensorFlow [Video].mp4 15.5 MB
3.3-Our Previous Project on TensorBoard - Machine Learning with TensorFlow [Video].mp4 12.7 MB
4.3-Programming a CNN - Machine Learning with TensorFlow [Video].mp4 11.7 MB
1.4-Installation on Windows – Pre-Requisite Virtual Machine Setup - Machine Learning with TensorFlow [Video].mp4 11.6 MB
1.1-The Course Overview - Machine Learning with TensorFlow [Video].mp4 11.2 MB
3.2-TensorBoard Events and Histograms - Machine Learning with TensorFlow [Video].mp4 11.0 MB
2.3-Understanding Matrix Conversions - Machine Learning with TensorFlow [Video].mp4 10.7 MB
1.2-Introducing Deep Learning - Machine Learning with TensorFlow [Video].mp4 10.4 MB
4.1-Convolutional Neural Networks - Machine Learning with TensorFlow [Video].mp4 10.0 MB
3.1-Getting Started with TensorBoard - Machine Learning with TensorFlow [Video].mp4 9.8 MB
4.2-Fully Connected Neural Networks - Machine Learning with TensorFlow [Video].mp4 9.1 MB
2.2-Automating Data Preparation - Machine Learning with TensorFlow [Video].mp4 9.0 MB
2.4-The Machine Learning Life Cycle - Machine Learning with TensorFlow [Video].mp4 8.0 MB
2.5-Reviewing Outputs and Results - Machine Learning with TensorFlow [Video].mp4 7.2 MB
4.4-CNN Versus Fully Connected Network Performance - Machine Learning with TensorFlow [Video].mp4 6.0 MB
2.1-The Hand-Written Letters Dataset - Machine Learning with TensorFlow [Video].mp4 5.5 MB
4.5-Using TensorBoard on Our CNN - Machine Learning with TensorFlow [Video].mp4 3.6 MB
MLwithTF-master-CODE/book_code/data_utils.py 32.5 kB

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