Can't do C1_W3_Lab_3B_linear.html

[ryorichie]

already convert and get model.json and group1-shard1of1.bin but still get this error
Uncaught (in promise) Error: An InputLayer should be passed either a batchInputShape or an inputShape.
at new n (tfjs@latest:17:545265)
at value (tfjs@latest:17:404063)
at Vse (tfjs@latest:17:511819)
at rle (tfjs@latest:17:568666)
at value (tfjs@latest:17:643888)
at Vse (tfjs@latest:17:511819)
at rle (tfjs@latest:17:568666)
at tfjs@latest:17:634963
at h (tfjs@latest:17:2100)
at Generator. (tfjs@latest:17:3441)

[Alireza_Saei]

Hi @ryorichie

Have you defined an InputLayer in your model architecture? If yes, could you please provide the configuration of the InputLayer, including batchInputShape / inputShape?

Also, make sure that you are using correct the TensorFlow.js version.

[ryorichie]

model = tf.keras.models.Sequential([
tf.keras.layers.Dense(units=1, input_shape=[1])
])

model.compile(optimizer=‘sgd’, loss=‘mean_squared_error’)

xs = np.array([-1.0, 0.0, 1.0, 2.0, 3.0, 4.0], dtype=float)
ys = np.array([-3.0, -1.0, 1.0, 3.0, 5.0, 7.0], dtype=float)

model.fit(xs, ys, epochs=500)

it’s c1w3 lab 3a file

[Alireza_Saei]

The error shows that you’re encountering issues with TensorFlow.js, but the code provided appears to be written in Python not JavaScript!

[Deepti_Prasad]

Hello @ryorichie

Based on your error, it is the way you are trying to convert the model into json format is probably needs a review. There is a GitHub repo provided for this in the GitHub repo for this specialisation which is public, so you can have a look.

Another issue could be incompatibility between the autograder assignment and tf.version you are using and the python version in your local system.

When I had this issue, the below comment by James helped me resolve the issue

Assignment 3 submission errors

I have found the solution! The main idea is that you cannot use Python 3.10.8, but it worked with Python 3.8.10. You can read the remainder of this message ONLY if you want to know how I solved the problem. I have Python 3.10.8 installed in C:/Users/JJohnson/AppData/Local/Programs/Python/Python310/python.exe I downloaded and installed Python 3.8.10 - May 3, 2021: I downloaded “Windows installer (64-bit)” from https://www.python.org/downloads/windows/: https://www.python.org/ftp/python/3.8.…

I am also sharing my post created thread when I had the issue, for you to understand what all issues I went through while passing this assignment.

ERROR: No matching distribution found for tensorflow==2.2.0

Hey Chris, Always happy to hear from you So based on the topic you told me to check, tells now I can use Coursera Lab environment with the TF 2.2 version for doing the TF Data and Deployment course assignments. But our issue was not that. I was okay to work on Jupyter notebook. The issue was we all are using upgraded version of tensorflow, like I am using 2.11 and that is not compatible with the exercise conversion to json file. So we wanted to know when the assignment will…

Let me know if you need further help.

Regards
DP