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Chapter_4-Advanced_TensorFlow\25. Saving and Loading Models.mp4
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Chapter_4-Advanced_TensorFlow\26. TensorFlow Serving for Model Deployment.mp4
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Chapter_4-Advanced_TensorFlow\27. TensorFlow Lite for Mobile and Embedded Devices.mp4
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Chapter_4-Advanced_TensorFlow\28. TensorFlow's Distributed Execution Framework.mp4
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Chapter_4-Advanced_TensorFlow\29. Scaling TensorFlow with TensorFlow Serving and Kubernetes.mp4
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Chapter_4-Advanced_TensorFlow\30. Introduction to TFX(TensorFlow Extended).mp4
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Chapter_4-Advanced_TensorFlow\31. Building End-to-End ML Pipelines with TFX.mp4
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Chapter_4-Advanced_TensorFlow\32. Model Validation, Transform, and Serving with TFX.mp4
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Chapter_5-Practical_Applications_and_Projects\33. Image Classification.mp4
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Chapter_5-Practical_Applications_and_Projects\34. Natural Language Processing.mp4
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Chapter_5-Practical_Applications_and_Projects\35. Recommender Systems.mp4
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Chapter_5-Practical_Applications_and_Projects\36. Object Detection.mp4
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Chapter_5-Practical_Applications_and_Projects\37. Building a Sentiment Analysis Model.mp4
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Chapter_5-Practical_Applications_and_Projects\38. Creating an Image Recognition System.mp4
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Chapter_5-Practical_Applications_and_Projects\39. Developing a Time Series Prediction Model.mp4
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Chapter_5-Practical_Applications_and_Projects\40. Implementing a Chatbot.mp4
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Chapter_6-Further_Learning_and_Resources\41. Generative Adversarial Networks (GANs).mp4
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Chapter_6-Further_Learning_and_Resources\42. Reinforcement Learning with TensorFlow.mp4
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Chapter_6-Further_Learning_and_Resources\43. Quantum Machine Learning with TensorFlow Quantum.mp4
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Chapter_6-Further_Learning_and_Resources\44. TensorFlow Documentation and Tutorials.mp4
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Chapter_6-Further_Learning_and_Resources\45. Online Courses and Books.mp4
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Chapter_6-Further_Learning_and_Resources\46. TensorFlow Community and Forums.mp4
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Chapter_7-Summary_of_TensorFlow\47. Summary of Key Concepts.mp4
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Chapter_7-Summary_of_TensorFlow\48. Next Steps in Your TensorFlow Journey.mp4
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Chapter_1-Introduction_to_Machine_Learning_and_TensorFlow\1. What is Machine Learning.mp4
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Chapter_1-Introduction_to_Machine_Learning_and_TensorFlow\2. Introduction to TensorFlow.mp4
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Chapter_1-Introduction_to_Machine_Learning_and_TensorFlow\3. TensorFlow vs. Other Machine Learning frameworks.mp4
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Chapter_1-Introduction_to_Machine_Learning_and_TensorFlow\4. Installing TensorFlow.mp4
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Chapter_1-Introduction_to_Machine_Learning_and_TensorFlow\5. Setting up your Development Environment.mp4
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Chapter_1-Introduction_to_Machine_Learning_and_TensorFlow\6. Verifying the Installation.mp4
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Chapter_2-Basics_of_TensorFlow\10. TensorFlow Computational Graph.mp4
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Chapter_2-Basics_of_TensorFlow\11. Creating and Running a TensorFlow Session.mp4
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Chapter_2-Basics_of_TensorFlow\12. Managing Graphs and Sessions.mp4
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Chapter_2-Basics_of_TensorFlow\13. Building a Simple Feedforward Neural Network.mp4
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Chapter_2-Basics_of_TensorFlow\14. Activation Functions.mp4
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Chapter_2-Basics_of_TensorFlow\15. Loss Functions and Optimizers.mp4
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Chapter_2-Basics_of_TensorFlow\7. Introduction to Tensors.mp4
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Chapter_2-Basics_of_TensorFlow\8. Tensor Operations.mp4
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Chapter_2-Basics_of_TensorFlow\9. Constants, Variables, and Placeholders.mp4
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Chapter_3-Intermediate_TensorFlow\16. Introduction to Keras API.mp4
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Chapter_3-Intermediate_TensorFlow\17. Building Complex Models with Keras.mp4
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Chapter_3-Intermediate_TensorFlow\18. Training and Evaluating Models.mp4
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Chapter_3-Intermediate_TensorFlow\19. Introduction to CNNs(Convolutional Neural Networks).mp4
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Chapter_3-Intermediate_TensorFlow\20. Building and Training CNNs with TensorFlow.mp4
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Chapter_3-Intermediate_TensorFlow\21. Transfer Learning with Pre-trained CNNs.mp4
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Chapter_3-Intermediate_TensorFlow\22. Introduction to RNNs(Recurrent Neural Networks).mp4
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Chapter_3-Intermediate_TensorFlow\23. Building and Training RNNs with TensorFlow.mp4
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Chapter_3-Intermediate_TensorFlow\24. Applications of RNNs Language Modeling, Time Series Prediction.mp4
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