[FreeCourseSite.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API


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File Size:   2.58 GB
Creat Time:   2024-12-12
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Last Active:   2024-12-12
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Tags:    FreeCourseSite com Udemy - A Complete Guide on TensorFlow 2 0 using Keras API
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File List

  1. 01 - Introduction/001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 146.28 MB
  2. 02 - TensorFlow 2.0 Basics/001 From TensorFlow 1.x to TensorFlow 2.0.mp4 114.79 MB
  3. 17 - Annex 3 - Recurrent Neural Networks Theory/005 LSTM Practical Intuition.mp4 107.46 MB
  4. 17 - Annex 3 - Recurrent Neural Networks Theory/004 LSTMs.mp4 88.86 MB
  5. 16 - Annex 2 - Convolutional Neural Networks Theory/005 Step 2 - Max Pooling.mp4 87.47 MB
  6. 17 - Annex 3 - Recurrent Neural Networks Theory/003 Vanishing Gradient.mp4 86.19 MB
  7. 16 - Annex 2 - Convolutional Neural Networks Theory/002 What are Convolutional Neural Networks.mp4 71.08 MB
  8. 16 - Annex 2 - Convolutional Neural Networks Theory/003 Step 1 - Convolution.mp4 65.59 MB
  9. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/005 Dataset preprocessing pipeline.mp4 59.78 MB
  10. 16 - Annex 2 - Convolutional Neural Networks Theory/007 Step 4 - Full Connection.mp4 58.56 MB
  11. 17 - Annex 3 - Recurrent Neural Networks Theory/002 What are Recurrent Neural Networks.mp4 57.55 MB
  12. 04 - Convolutional Neural Networks/002 Building the Convolutional Neural Network.mp4 56.58 MB
  13. 07 - Deep Reinforcement Learning Theory/009 Action Selection Policies.mp4 54.38 MB
  14. 16 - Annex 2 - Convolutional Neural Networks Theory/009 Softmax & Cross-Entropy.mp4 51.44 MB
  15. 07 - Deep Reinforcement Learning Theory/002 The Bellman Equation.mp4 48.21 MB
  16. 06 - Transfer Learning and Fine Tuning/001 What is Transfer Learning.mp4 46.48 MB
  17. 06 - Transfer Learning and Fine Tuning/002 Project Setup.mp4 44.48 MB
  18. 15 - Annex 1 - Artificial Neural Networks Theory/002 The Neuron.mp4 43.71 MB
  19. 15 - Annex 1 - Artificial Neural Networks Theory/005 How do Neural Networks Learn.mp4 43.33 MB
  20. 07 - Deep Reinforcement Learning Theory/003 Markov Decision Process (MDP).mp4 42.38 MB
  21. 07 - Deep Reinforcement Learning Theory/008 Experience Replay.mp4 38.18 MB
  22. 07 - Deep Reinforcement Learning Theory/005 Temporal Difference.mp4 36.57 MB
  23. 08 - Deep Reinforcement Learning for Stock Market trading/012 Training loop - Step 2.mp4 36.07 MB
  24. 15 - Annex 1 - Artificial Neural Networks Theory/004 How do Neural Networks Work.mp4 35.20 MB
  25. 07 - Deep Reinforcement Learning Theory/006 Deep Q-Learning Intuition - Step 1.mp4 34.48 MB
  26. 15 - Annex 1 - Artificial Neural Networks Theory/007 Stochastic Gradient Descent.mp4 31.35 MB
  27. 07 - Deep Reinforcement Learning Theory/004 Q-Learning Intuition.mp4 29.30 MB
  28. 05 - Recurrent Neural Networks/001 Project Setup & Data Preprocessing.mp4 28.91 MB
  29. 08 - Deep Reinforcement Learning for Stock Market trading/007 Dataset Loader function.mp4 26.52 MB
  30. 15 - Annex 1 - Artificial Neural Networks Theory/006 Gradient Descent.mp4 25.66 MB
  31. 07 - Deep Reinforcement Learning Theory/001 What is Reinforcement Learning.mp4 24.88 MB
  32. 08 - Deep Reinforcement Learning for Stock Market trading/006 AI Trader - Step 5.mp4 23.25 MB
  33. 02 - TensorFlow 2.0 Basics/002 Constants, Variables, Tensors.mp4 23.10 MB
  34. 03 - Artificial Neural Networks/003 Building the Artificial Neural Network.mp4 22.95 MB
  35. 03 - Artificial Neural Networks/001 Project Setup.mp4 22.25 MB
  36. 03 - Artificial Neural Networks/002 Data Preprocessing.mp4 21.14 MB
  37. 16 - Annex 2 - Convolutional Neural Networks Theory/004 Step 1 Bis - ReLU Layer.mp4 20.61 MB
  38. 12 - Image Classification API with TensorFlow Serving/003 Project setup.mp4 19.85 MB
  39. 04 - Convolutional Neural Networks/003 Training and Evaluating the Convolutional Neural Network.mp4 19.84 MB
  40. 13 - TensorFlow Lite Prepare a model for a mobile device/003 Dataset preprocessing.mp4 19.67 MB
  41. 12 - Image Classification API with TensorFlow Serving/007 Serving the TensorFlow 2.0 Model.mp4 19.58 MB
  42. 02 - TensorFlow 2.0 Basics/003 Operations with Tensors.mp4 19.48 MB
  43. 14 - Distributed Training with TensorFlow 2.0/007 Final evaluation - Speed test normal model vs distributed model.mp4 19.09 MB
  44. 15 - Annex 1 - Artificial Neural Networks Theory/008 Backpropagation.mp4 17.65 MB
  45. 05 - Recurrent Neural Networks/003 Training and Evaluating the Recurrent Neural Network.mp4 17.28 MB
  46. 15 - Annex 1 - Artificial Neural Networks Theory/003 The Activation Function.mp4 17.25 MB
  47. 03 - Artificial Neural Networks/004 Training the Artificial Neural Network.mp4 17.25 MB
  48. 04 - Convolutional Neural Networks/001 Project Setup & Data Preprocessing.mp4 17.17 MB
  49. 10 - Dataset Preprocessing with TensorFlow Transform (TFT)/002 Initial dataset preprocessing.mp4 16.37 MB
  50. 12 - Image Classification API with TensorFlow Serving/005 Defining, training and evaluating a model.mp4 16.25 MB

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