Address tfjs-automl typos in documentation strings (#8219)

tfjs-automl/README.md

@@ -48,10 +48,10 @@ const modelUrl = 'model.json'; // URL to the model.json file.
 const model = await automl.loadImageClassification(modelUrl);
 ```
 
-If you do not want (or cannot) load the model over HTTP you can also load the model separately and directly use the constuctor. 
+If you do not want (or cannot) load the model over HTTP you can also load the model separately and directly use the constructor. 
 This is particularly relevant for __non-browser__ platforms.
 
-The following psuedocode demonstrates this approach:
+The following pseudocode demonstrates this approach:
 
 ```js
 import * as automl from '@tensorflow/tfjs-automl';
@@ -138,10 +138,10 @@ const modelUrl = 'model.json'; // URL to the model.json file.
 const model = await automl.loadObjectDetection(modelUrl);
 ```
 
-If you do not want (or cannot) load the model over HTTP you can also load the model separately and directly use the constuctor. 
+If you do not want (or cannot) load the model over HTTP you can also load the model separately and directly use the constructor. 
 This is particularly relevant for __non-browser__ platforms.
 
-The following psuedocode demonstrates this approach:
+The following pseudocode demonstrates this approach:
 
 ```js
 import * as automl from '@tensorflow/tfjs-automl';

tfjs-automl/src/test_browser.ts

@@ -39,7 +39,7 @@ const testEnv = parseTestEnvFromKarmaFlags(__karma__.config.args, TEST_ENVS);
 if (testEnv != null) {
   setTestEnvs([testEnv]);
 } else {
-  // Run browser tests againts both the webgl backends.
+  // Run browser tests against both the webgl backends.
   setTestEnvs([
     // WebGL.
     {

tfjs-automl/src/test_node.ts

@@ -28,7 +28,7 @@ process.on('unhandledRejection', e => {
   throw e;
 });
 
-// Run node tests againts the cpu backend.
+// Run node tests against the cpu backend.
 setTestEnvs([{name: 'node', backendName: 'cpu'}]);
 
 const runner = new jasmine();