TensorFlow is a tool for machine learning. While it contains a wide range of
functionality, TensorFlow is mainly designed for deep neural network models.
-The easiest way to get started with TensorFlow is using Eager Execution.
+The easiest way to get started with TensorFlow is by using Eager Execution.
- * @{$get_started/eager}, is for anyone new to machine learning or TensorFlow.
+ * @{$get_started/eager}, is for anyone new to machine learning or TensorFlow.
TensorFlow provides many APIs. The remainder of this section focuses on the
- Estimator API which provide scalable, high-performance models.
- To get started with Estimators, begin by reading one of the following documents:
-
- * @{$get_started/get_started_for_beginners}, which is aimed at readers
- new to machine learning.
- * @{$get_started/premade_estimators}, which is aimed at readers who have
- experience in machine learning.
-
- Then, read the following documents, which demonstrate the key features
- in the high-level APIs:
-
- * @{$get_started/checkpoints}, which explains how to save training progress
- and resume where you left off.
- * @{$get_started/feature_columns}, which shows how an
- Estimator can handle a variety of input data types without changes to the
- model.
- * @{$get_started/datasets_quickstart}, which introduces TensorFlow's
- input pipelines.
- * @{$get_started/custom_estimators}, which demonstrates how
- to build and train models you design yourself.
+ Estimator API which provide scalable, high-performance models. See the
+ @{$estimators} guide.
For more advanced users:
limitations under the License.
==============================================================================*/
+#include <string>
+#include <map>
+#include <vector>
#include <list>
+ #include <map>
#include <memory>
#include <set>
+ #include <string>
+ #include <vector>
+ #include "tensorflow/core/framework/op_gen_lib.h"
#include "tensorflow/core/lib/core/errors.h"
- #include "tensorflow/core/lib/strings/str_util.h"
#include "tensorflow/core/lib/io/path.h"
-#include "tensorflow/core/lib/strings/str_util.h"
-#include "tensorflow/core/platform/env.h"
#include "tensorflow/core/platform/logging.h"
+#include "tensorflow/core/platform/env.h"
+#include "tensorflow/core/framework/op_gen_lib.h"
#include "tensorflow/java/src/gen/cc/java_defs.h"
- #include "tensorflow/java/src/gen/cc/source_writer.h"
#include "tensorflow/java/src/gen/cc/op_generator.h"
#include "tensorflow/java/src/gen/cc/op_specs.h"
+ #include "tensorflow/java/src/gen/cc/source_writer.h"
namespace tensorflow {
namespace java {
#include <string>
#include <vector>
+#include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/framework/api_def.pb.h"
- #include "tensorflow/core/platform/env.h"
+ #include "tensorflow/core/framework/op_def.pb.h"
#include "tensorflow/core/lib/core/status.h"
-#include "tensorflow/core/platform/env.h"
#include "tensorflow/java/src/gen/cc/op_specs.h"
namespace tensorflow {