Converting to TensorFlow Lite - Revision history

BPeat: Text replacement - "http://" to "https://"

2023-03-28T11:31:24Z

Text replacement - "http://" to "https://"

BPeat at 09:06, 27 June 2019

2019-06-27T09:06:47Z

BPeat: /* TocoConverter (THIS FUNCTION IS DEPRECATED) */

2019-06-27T09:03:29Z

‎TocoConverter (THIS FUNCTION IS DEPRECATED)

BPeat: /* TocoConverter (THIS FUNCTION IS DEPRECATED) */

2019-06-27T09:02:16Z

‎TocoConverter (THIS FUNCTION IS DEPRECATED)

BPeat at 08:48, 27 June 2019

2019-06-27T08:48:49Z

BPeat at 08:45, 27 June 2019

2019-06-27T08:45:36Z

BPeat at 08:39, 27 June 2019

2019-06-27T08:39:58Z

BPeat: BPeat moved page TensorFlow Lite converter to Converting to TensorFlow Lite without leaving a redirect

2019-06-27T08:28:34Z

BPeat moved page TensorFlow Lite converter to Converting to TensorFlow Lite without leaving a redirect

BPeat at 08:27, 27 June 2019

2019-06-27T08:27:48Z

BPeat at 08:18, 27 June 2019

2019-06-27T08:18:34Z

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=tensorflow+lite+convert+lite.TFLiteConverter+artificial+intelligence+deep+learning Youtube search...]
+[https://www.youtube.com/results?search_query=tensorflow+lite+convert+lite.TFLiteConverter+artificial+intelligence+deep+learning Youtube search...]
-[http://www.google.com/search?q=tensorflow+lite+lite.TFLiteConverter+machine+learning+convert+ML+artificial+intelligence ...Google search]
+[https://www.google.com/search?q=tensorflow+lite+lite.TFLiteConverter+machine+learning+convert+ML+artificial+intelligence ...Google search]
 * [[TensorFlow]]
@@ Line 13: / Line 13: @@
 == TensorFlow Lite converter: lite.TFLiteConverter ==
-* [http://www.tensorflow.org/api_docs/python/tf/lite/TFLiteConverter lite.TFLiteConverter | TensorFlow]
+* [https://www.tensorflow.org/api_docs/python/tf/lite/TFLiteConverter lite.TFLiteConverter | TensorFlow]
 The TensorFlow Lite converter is used to convert TensorFlow models; GraphDef or SavedModel into an optimized FlatBuffer format, so that they can be used by the TensorFlow Lite interpreter or graph visualization.

@@ Line 36: / Line 36: @@
 <youtube>ICY4Lvhyobk</youtube>
-<youtube>ICY4Lvhyobk</youtube>
 == TocoConverter (THIS FUNCTION IS DEPRECATED) ==

@@ Line 39: / Line 39: @@
 == TocoConverter (THIS FUNCTION IS DEPRECATED) ==
 <youtube>MZx1fhbL2q4</youtube>
 <youtube>cWrb3qIFlCQ</youtube>

← Older revision		Revision as of 09:02, 27 June 2019
Line 41:		Line 41:
	<youtube>MZx1fhbL2q4</youtube>		<youtube>MZx1fhbL2q4</youtube>
	<youtube>cWrb3qIFlCQ</youtube>		<youtube>cWrb3qIFlCQ</youtube>
		+	<youtube>IJt_veyTlv8</youtube>

@@ Line 16: / Line 16: @@
 The TensorFlow Lite converter is used to convert TensorFlow models; GraphDef or SavedModel into an optimized FlatBuffer format, so that they can be used by the TensorFlow Lite interpreter or graph visualization.
-# Converting a GraphDef from session.
+ # Converting a GraphDef from session.
-converter = lite.TFLiteConverter.from_session(sess, in_tensors, out_tensors)
+ converter = lite.TFLiteConverter.from_session(sess, in_tensors, out_tensors)
-tflite_model = converter.convert()
+ tflite_model = converter.convert()
-open("converted_model.tflite", "wb").write(tflite_model)
+ open("converted_model.tflite", "wb").write(tflite_model)
-# Converting a GraphDef from file.
+ # Converting a GraphDef from file.
-converter = lite.TFLiteConverter.from_frozen_graph(
+ converter = lite.TFLiteConverter.from_frozen_graph(
    graph_def_file, input_arrays, output_arrays)
-tflite_model = converter.convert()
+ tflite_model = converter.convert()
-open("converted_model.tflite", "wb").write(tflite_model)
+ open("converted_model.tflite", "wb").write(tflite_model)
-# Converting a SavedModel.
+ # Converting a SavedModel.
-converter = lite.TFLiteConverter.from_saved_model(saved_model_dir)
+ converter = lite.TFLiteConverter.from_saved_model(saved_model_dir)
-tflite_model = converter.convert()
+ tflite_model = converter.convert()
-# Converting a tf.keras model.
+ # Converting a tf.keras model.
-converter = lite.TFLiteConverter.from_keras_model_file(keras_model)
+ converter = lite.TFLiteConverter.from_keras_model_file(keras_model)
-tflite_model = converter.convert()
+ tflite_model = converter.convert()
 <youtube>ICY4Lvhyobk</youtube>

← Older revision	Revision as of 08:28, 27 June 2019
(No difference)

@@ Line 5: / Line 5: @@
 |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
 }}
-[http://www.youtube.com/results?search_query=tensorflow+lite+converter+artificial+intelligence+deep+learning Youtube search...]
+[http://www.youtube.com/results?search_query=tensorflow+lite+convert+artificial+intelligence+deep+learning Youtube search...]
-[http://www.google.com/search?q=tensorflow+lite+machine+learning+converter+ML+artificial+intelligence ...Google search]
+[http://www.google.com/search?q=tensorflow+lite+machine+learning+convert+ML+artificial+intelligence ...Google search]
 * [[TensorFlow]]
 * [[TensorFlow Lite]]
 The TensorFlow Lite converter is used to convert TensorFlow models into an optimized FlatBuffer format, so that they can be used by the TensorFlow Lite interpreter.
 <youtube>ICY4Lvhyobk</youtube>

← Older revision		Revision as of 08:18, 27 June 2019
Line 1:		Line 1:
−	** [[TensorFlow Lite ~~converter~~]]	+	{{#seo:
		+	\|title=PRIMO.ai
		+	\|titlemode=append
		+	\|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
		+	\|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
		+	}}
		+	[http://www.youtube.com/results?search_query=tensorflow+lite+converter+artificial+intelligence+deep+learning Youtube search...]
		+	[http://www.google.com/search?q=tensorflow+lite+machine+learning+converter+ML+artificial+intelligence ...Google search]
		+
		+	* [http://www.tensorflow.org/lite/convert TensorFlow Lite converter \| TensorFlow]
		+	* [[TensorFlow]]
		+	* [[TensorFlow Lite]]
		+
		+	The TensorFlow Lite converter is used to convert TensorFlow models into an optimized FlatBuffer format, so that they can be used by the TensorFlow Lite interpreter.
		+
		+	<youtube>ICY4Lvhyobk</youtube>