Closed sayakpaul closed 4 years ago
I am currently taking the Browser-based Models with TensorFlow.js course. I am only stuck in the Week 1 exercise.
Here's the code:
<html> <head></head> <script src="https://cdn.jsdelivr.net/npm/@tensorflow/tfjs@latest"></script> <script lang="js"> async function run(){ const trainingUrl = 'wdbc-train.csv'; const trainingData = tf.data.csv(trainingUrl, { columnConfigs: { diagnosis: { isLabel: true } } }); const convertedTrainingData = trainingData.map(({xs, ys}) => { // console.log(trainingData); return{ xs: Object.values(xs), ys: Object.values(ys)}; }).batch(10); // const testingUrl = 'wdbc-test.csv'; // const testingData = tf.data.csv(testingUrl, { // columnConfigs: { // diagnosis: { // isLabel: true // } // } // }); // const convertedTestingData = // testingData.map(({xs, ys}) => { // return{ xs: Object.values(xs), ys: Object.values(ys)}; // }).batch(10); const numOfFeatures = 30; // console.log(numOfFeatures); const model = tf.sequential(); model.add(tf.layers.dense({inputShape: [numOfFeatures], activation: "relu", units: 20})) model.add(tf.layers.dense({activation: "relu", units: 20})) model.add(tf.layers.dense({activation: "relu", units: 10})) model.add(tf.layers.dense({activation: "relu", units: 5})) model.add(tf.layers.dense({activation: "sigmoid", units: 1})); model.compile({loss: "binaryCrossentropy", optimizer: tf.train.rmsprop(), metrics: ["accuracy"]}); model.summary(); //console.log(convertedTrainingData); await model.fitDataset(convertedTrainingData, {epochs:100, callbacks:{ onEpochEnd: async(epoch, logs) =>{ console.log("Epoch: " + epoch + " Loss: " + logs.loss); } }}); // await model.fitDataset(convertedTrainingData, // {epochs:100, // validationData: convertedTestingData, // callbacks:{ // onEpochEnd: async(epoch, logs) =>{ // console.log("Epoch: " + epoch + " Loss: " + logs.loss + " Accuracy: " + logs.acc); // } // }}); // await model.save('downloads://my_model'); } run(); </script> <body> </body> </html>
And here's the console log:
tfjs@latest:2 _________________________________________________________________ tfjs@latest:2 Layer (type) Output shape Param # tfjs@latest:2 ================================================================= tfjs@latest:2 dense_Dense1 (Dense) [null,20] 620 tfjs@latest:2 _________________________________________________________________ tfjs@latest:2 dense_Dense2 (Dense) [null,20] 420 tfjs@latest:2 _________________________________________________________________ tfjs@latest:2 dense_Dense3 (Dense) [null,10] 210 tfjs@latest:2 _________________________________________________________________ tfjs@latest:2 dense_Dense4 (Dense) [null,5] 55 tfjs@latest:2 _________________________________________________________________ tfjs@latest:2 dense_Dense5 (Dense) [null,1] 6 tfjs@latest:2 ================================================================= tfjs@latest:2 Total params: 1311 tfjs@latest:2 Trainable params: 1311 tfjs@latest:2 Non-trainable params: 0 tfjs@latest:2 _________________________________________________________________ tfjs@latest:2 Uncaught (in promise) Error: Argument 'b' passed to 'mul' must be a Tensor or TensorLike, but got 'null' at Ke (tfjs@latest:2) at mul_ (tfjs@latest:2) at Object.mul (tfjs@latest:2) at t.mul (tfjs@latest:2) at tfjs@latest:2 at tfjs@latest:2 at t.scopedRun (tfjs@latest:2) at t.tidy (tfjs@latest:2) at We (tfjs@latest:2) at tfjs@latest:2 Ke @ tfjs@latest:2 mul_ @ tfjs@latest:2 mul @ tfjs@latest:2 t.mul @ tfjs@latest:2 (anonymous) @ tfjs@latest:2 (anonymous) @ tfjs@latest:2 t.scopedRun @ tfjs@latest:2 t.tidy @ tfjs@latest:2 We @ tfjs@latest:2 (anonymous) @ tfjs@latest:2 e.applyGradients @ tfjs@latest:2 e.minimize @ tfjs@latest:2 (anonymous) @ tfjs@latest:2 (anonymous) @ tfjs@latest:2 (anonymous) @ tfjs@latest:2 (anonymous) @ tfjs@latest:2 o @ tfjs@latest:2 async function (async) run @ wdbc_exercise.html:53 (anonymous) @ wdbc_exercise.html:73
I am absolutely running out of options here to debug this. Help would be appreciated. Thanks!
I am currently taking the Browser-based Models with TensorFlow.js course. I am only stuck in the Week 1 exercise.
Here's the code:
And here's the console log:
I am absolutely running out of options here to debug this. Help would be appreciated. Thanks!