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Tutorial 26- Create Image Dataset using Data Augmentation using Keras-Deep Learning-Data Science

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Tutorial 26- Create Image Dataset using Data Augmentation using Keras-Deep Learning-Data Science

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Complete Deep Learning

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  1. 1 Why Deep Learning Is Becoming So Popular?🔥🔥🔥🔥🔥🔥
  2. 2 Complete Road Map To Prepare For Deep Learning🔥🔥🔥🔥
  3. 3 Introduction To Machine Learning And Deep Learning For Starters
  4. 4 Tutorial 1- Introduction to Neural Network and Deep Learning
  5. 5 Tutorial 2- How does Neural Network Work
  6. 6 Tutorial 3-Activation Functions Part-1
  7. 7 Tutorial 4: How to train Neural Network with BackPropogation
  8. 8 Tutorial 5- How to train MultiLayer Neural Network and Gradient Descent
  9. 9 Tutorial 6-Chain Rule of Differentiation with BackPropagation
  10. 10 Tutorial 7- Vanishing Gradient Problem
  11. 11 Tutorial 8- Exploding Gradient Problem in Neural Network
  12. 12 Tutorial 9- Drop Out Layers in Multi Neural Network
  13. 13 Tutorial 10- Activation Functions Rectified Linear Unit(relu) and Leaky Relu Part 2
  14. 14 Deep Learning-Activation Functions-Elu, PRelu,Softmax,Swish And Softplus
  15. 15 Tutorial 11- Various Weight Initialization Techniques in Neural Network
  16. 16 Tutorial 12- Stochastic Gradient Descent vs Gradient Descent
  17. 17 Tutorial 13- Global Minima and Local Minima in Depth Understanding
  18. 18 Tutorial 14- Stochastic Gradient Descent with Momentum
  19. 19 Tutorial 15- Adagrad Optimizers in Neural Network
  20. 20 Tutorial 16- AdaDelta and RMSprop optimizer
  21. 21 Deep Learning-All Optimizers In One Video-SGD with Momentum,Adagrad,Adadelta,RMSprop,Adam Optimizers
  22. 22 Session On Different Types Of Loss Function In Deep Learning
  23. 23 Tutorial 17- Create Artificial Neural Network using Weight Initialization Tricks
  24. 24 Keras Tuner Hyperparameter Tuning-How To Select Hidden Layers And Number of Hidden Neurons In ANN
  25. 25 Tutorial 18- Hyper parameter Tuning To Decide Number of Hidden Layers in Neural Network
  26. 26 Tutorial 19- Training Artificial Neural Network using Google Colab GPU
  27. 27 Tutorial 20- Convolution Neural Network vs Human Brain
  28. 28 Tutorial 21- What is Convolution operation in CNN?
  29. 29 Tutorial 22- Padding in Convolutional Neural Network
  30. 30 Tutorial 23- Operation Of CNN(CNN vs ANN)
  31. 31 Tutorial 24- Max Pooling Layer In CNN
  32. 32 Tutorial 25- Data Augmentation In CNN-Deep Learning
  33. 33 Tutorial 26- Create Image Dataset using Data Augmentation using Keras-Deep Learning-Data Science
  34. 34 Tutorial 27- Create CNN Model and Optimize using Keras Tuner- Deep Learning
  35. 35 Tutorial 28- Create CNN Model Using Transfer Learning using Vgg 16, Resnet
  36. 36 Tutorial 29- Why Use Recurrent Neural Network and Its Application
  37. 37 Tutorial 30- Recurrent Neural Network Forward Propogation With Time
  38. 38 Tutorial 31- Back Propagation In Recurrent Neural Network
  39. 39 Tutorial 32- Problems In Simple Recurrent Neural Network
  40. 40 Tutorial 33- Installing Cuda Toolkit And cuDNN For Deep Learning
  41. 41 Tutorial 34- LSTM Recurrent Neural Network In Depth Intuition
  42. 42 Word Embedding - Natural Language Processing| Deep Learning
  43. 43 Implementing Word Embedding Using Keras- NLP | Deep Learning
  44. 44 Develop your Neural Network Like A Google Deep Learning Developer
  45. 45 Kaggle Faker News Classifier Using LSTM- Deep LEarning| Natural Language Processing
  46. 46 Stock Price Prediction And Forecasting Using Stacked LSTM- Deep Learning
  47. 47 Bidirectional RNN Indepth Intuition- Deep Learning Tutorial
  48. 48 Implement Kaggle Fake News Classifier Using Bidirectional LSTM RNN
  49. 49 Sequence To Sequence Learning With Neural Networks| Encoder And Decoder In-depth Intuition
  50. 50 Develop Your First Deep Learning End To End Project As A Beginner In Data Science in 30 minutes
  51. 51 Encoder And Decoder- Neural Machine Learning Language Translation Tutorial With Keras- Deep Learning
  52. 52 Problems With Encoders And Decoders- Indepth Intuition
  53. 53 Live Session- Understanding Attention Models Architecture And Maths Intuition- Deep Learning
  54. 54 Live Session- Encoder Decoder,Attention Models, Transformers, Bert Part 1
  55. 55 Live- Attention Models, Transformers In depth Intuition Deep Learning- Part 2
  56. 56 Live -Transformers Indepth Architecture Understanding- Attention Is All You Need
  57. 57 How To Train Deep Learning Models In Google Colab- Must For Everyone
  58. 58 Alexnet Architecture In-depth-Discussion Along With Code-Deep Learning Advanced CNN
  59. 59 VGGNET Architecture In-depth Discussion Along With Code -Deep Learning Advanced CNN
  60. 60 Hummingbird-Run Traditional Machine Learning model on Deep Neural Network frameworks-Data Science
  61. 61 Lets Implement LSTM RNN Models For Univariate Time Series Forecasting- Deep Learning
  62. 62 TensorDash- How To Monitor Your Deep Learning Model Metrics, Loss, Accuracy Using Mobile App
  63. 63 Handling Imbalanced Dataset Using Cost Sensitive Neural Networks- Credit Card Fraud Detection
  64. 64 500+ Machine Learning And Deep Learning Projects All At One Place
  65. 65 Google Colab Pro Vs Colab Free- Benefits Of Using Colab Pro- How To Access From India
  66. 66 How To Implement Image Classification Using SVM In Convolution Neural Network
  67. 67 Object Localization Vs Object Detection Deep Learning
  68. 68 3000+ Research Datasets For Machine Learning Researchers By Papers With Code
  69. 69 PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network
  70. 70 Face Recognition Attendance Based Project In Machine Learning
  71. 71 Colab Pro Now Available In India, Brazil, France, Thailand,Japan,UK- BOON FOR Data Science Aspirants
  72. 72 Part 1-EDA-Audio Classification Project Using Deep Learning
  73. 73 Part 2-Data Preprocessing-Audio Classification Project Using Deep Learning
  74. 74 Part 3-Model Creation-Audio Classification Project Using Deep Learning
  75. 75 Part 4-Testing ANN Model-Audio Classification Project Using Deep Learning
  76. 76 Gradio Library-Interfaces for your Machine Learning Models
  77. 77 Comparing Transfer Learning Models Using Gradio
  78. 78 TFOD 2.0 Custom Object Detection Step By Step Tutorial
  79. 79 Text Generation with Transformers (GPT-2) In 10 Lines Of Code
  80. 80 Image Segmentation And Object Detection Using 5 Lines Of Code Using PixelLib
  81. 81 Real Time Image Segmentation And Object Detection From Live Video Stream Using PixelLib
  82. 82 Face Detection, Face Mesh, OpenPose, Holisitic, Hand Detection Using MediaPipe On Live Stream Video
  83. 83 GauGAN AI Art Tool By Nvidia- Convert Imagination Into Real Picture- Application Of GAN
  84. 84 Implementation Of Perceptron In Deep Learning Using Python From Scratch- Part 1- Ft: Sunny
  85. 85 Complete Implementation Of Perceptron In Deep Learning Using Python From Scratch
  86. 86 How to Install Ubuntu in Windows 10 with WSL2-Windows Subsystem for Linux
  87. 87 Tutorial on Automated Machine Learning using MLBox
  88. 88 Monte Carlo DropOut Layers In Deep Learning

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