TensorFlow Fundamentals: From Basics to Brilliant AI Project

سرفصل های دوره

Deep Learning: From Neuron to Advanced Deep Learning Projects: Master the Core Concepts of TensorFlow & Deep Learning

1. Introduction

1. Introduction to Instructor

2. Course Outline

3. Your Honest Review

4. Links for the Courses Materials and Codes.html

2. Introduction to TensorFlow

1. Links for the Courses Materials and Codes.html

2. Module Introduction

3. TensorFlow Definition and Properties

4. Tensor Types and Tesnor Board

5. How to use TensorFlow

6. Google Colab

7. Exercise

8. Exercise Solution

9. Quiz

10. Quiz Solution

11. What is TensorFlow.html

12. What is Tensorboard.html

13. What is the purpose of TensorFlow Serving.html

14. What is a Tensor in TensorFlow.html

15. How do you run a TensorFlow operation in a session.html

16. Which of the following statements about tf.SparseTensor is true.html

17. Which of the Following Statements is True about tf.placeholder.html

18. Which of the Following is NOT a Valid Data Type in TensorFlow.html

19. Which of the Following Statements is True about TensorFlow.html

20. Which of the Following Components of a TensorFlow Tensor is an Optional Label that can be used to Identify the Tensor.html

21. What is Google Colab.html

22. What is the Purpose of Importing TensorFlow as tf in a Python Script.html

3. 03-Building your first deep learning Project

1. Links for the Courses Materials and Codes.html

2. Module Introduction

3. ANNs

4. TensorFlow Playground

5. Load TF and Data

6. Model Training and Evaluation

7. Project

8. Project Implementation

9. Quiz

10. Quiz Solution

11. What does ANN Stand for.html

12. What is the Output of a Single Neuron in an ANN.html

13. What is TensorFlow Playground.html

14. How are ANNs Related to the Human Brain.html

15. What does the Formula T(F) = T(C)95+32 Represent.html

16. What is the Purpose of the Data Tab in TF Playground.html

17. What types of Machine Learning Models can be Trained in TF Playground.html

18. What is the most Common Type of File Format used with Pandas Read Function.html

19. What happens if the File Specified in the Pandas Read Function does not Exist.html

20. Which of the Following is NOT a Step involved in Reading in a File with Pandas Read Function.html

21. When Querying the Model for a Prediction, what Input is Typically Provided.html

22. What are some Features of TensorFlow.html

4. 04-Multi-layer Deep Learning Project

1. Links for the Courses Materials and Codes.html

2. Module Introduction

3. Training and Epochs

4. Gradient Decent and Back Propagation

5. Bias Variance Trade-Off

6. Performance Metrics

7. Project-Sales Predition

8. Quiz

9. Quiz Solution

10. Which of the Following is used to update the Weights of a Neural Network during Training.html

11. Which of the Following Represents the Number of Times a Machine Learning Model sees the Entire Training Dataset.html

12. Which of the Following is Responsible for Propagating the Error Back through the Neural Network during Training.html

14. Which of the Following is used to Evaluate the Performance of a Machine Learning Model.html

15. Which of the Following is used to add a Constant value to the Output of a Neuron in a Neural Network.html

16. What is the Purpose of Evaluating the Output of a Supervised Learning Algorithm.html

17. Which of the Following Performance Metrics is used to Measure how well a Regression Model Fits the Data.html

18. What is the Purpose of Determining the Residual for each Data Point.html

19. What is the Process of Backpropagation.html

20. What is the Role of the Gradient Descent in Backpropagation.html

21. How does the Network Learn in Reinforcement Learning.html

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تولید کننده: Udemy