課程一,第四周(Deep Neural Networks) —— 2.Programming Assignments: Deep Neural Network - Application

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Deep Neural Network - Application

Congratulations! Welcome to the fourth programming exercise of the deep learning specialization. You will now use everything you have learned to build a deep neural network that classifies cat vs. non-cat images.

              

In the second exercise, you used logistic regression to build cat vs. non-cat images and got a 68% accuracy. Your algorithm will now give you an 80% accuracy! By completing this assignment, you will:

  - Learn how to use all the helper functions you built in the previous assignment to build a model of any structure you want.

  - Experiment with different model architectures and see how each one behaves.

  - Recognize that it is always easier to build your helper functions before attempting to build a neural network from scratch.

This assignment prepares you well for the next course which dives deep into the techniques and strategies for parameters tuning and initializations. Take your time to complete this assignment and make sure you get the expected outputs when working through the different exercises. In some code blocks, you will find a "#GRADED FUNCTION: functionName" comment. Please do not modify it. After you are done, submit your work and check your results. You need to score 70% to pass. Good luck :) !

【中文翻譯】

深神經網路-應用祝賀!歡迎來到深度學習專業第四次編程練習。現在你將使用你所學到的一切建立一個深層的神經網路, 將cat與 non-cat 的映像分類。在第二個練習中, 您使用羅吉斯迴歸來構建 cat 與 non-cat 的映像, 並獲得了68% 的準確性。你的演算法現在將給你一個80% 的精確度!通過完成此任務, 您將:  -瞭解如何使用在上一個工作分配中產生的所有協助器函數來構建所需的任何結構的模型。  -嘗試使用不同的模型體繫結構, 並查看每種架構的效果。  -認識到, 在嘗試從頭構建神經網路之前, 構建協助函數總是比較容易的。這項任務為您下一課做好了準備。下一課將 深入瞭解參數調整和初始化的技術和策略。用你的時間完成這個任務, 通過不同的練習,並確保你得到預期的結果 。在某些代碼塊中, 您將找到一個 "#GRADED FUNCTION: functionName" 的注釋。請不要修改它。完成後, 提交您的工作, 並檢查您的結果。你需要得分70% 才能過關。祝你好運:)!---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 

課程一,第四周(Deep Neural Networks) —— 2.Programming Assignments: Deep Neural Network - Application

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