Question: Hello the answer that is posted for this question is totally wrong. Neither they provided any code nor any correct info. Do not provide any

Hello the answer that is posted for this question is totally wrong. Neither they provided any code nor any correct info. Do not provide any absurd answer.

Hello the answer that is posted for this question is totally wrong.

Neither they provided any code nor any correct info. Do not provide

any absurd answer. Problem 1 - Logistic Regression [70 points] Please code

the missing part to implement logistic regression with TensorFlow. Use softmax to estimate the probabilities, cross-entropy loss, or log loss, as the loss function,

Problem 1 - Logistic Regression [70 points] Please code the missing part to implement logistic regression with TensorFlow. Use softmax to estimate the probabilities, cross-entropy loss, or log loss, as the loss function, and Adam to optimize the loss function. Record training loss and accuracy every 50 iterations. Save checkpoints every 2000 iterations. Train and test your model. Report your result as a comment in the Python code. Your accuracy must be at least 85%. After training, run Tensorboard and make a screenshot of your Tensorboard showed on your browser and save image as A2_P1_TB [your accessID].jpg. if :\# the number of iterations meets a requirement checkpoint = checkpoint.write(ckpt_path)

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