From 48c2572cbe395a0704c2e81e3d948693bb6f726a Mon Sep 17 00:00:00 2001 From: Aniket Kakade Date: Fri, 1 Nov 2024 14:59:45 +0530 Subject: [PATCH 1/2] Made changes in README.md file --- aniii.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 aniii.txt diff --git a/aniii.txt b/aniii.txt new file mode 100644 index 00000000..9821288b --- /dev/null +++ b/aniii.txt @@ -0,0 +1 @@ +jkskksdf \ No newline at end of file From 1eb20072c5a9d3632fa886445c295bb3dfa3feff Mon Sep 17 00:00:00 2001 From: Aniket Kakade Date: Fri, 1 Nov 2024 15:14:18 +0530 Subject: [PATCH 2/2] Made changes in README.md file --- README.md | 6 +++++- aniii.txt | 1 - 2 files changed, 5 insertions(+), 2 deletions(-) delete mode 100644 aniii.txt diff --git a/README.md b/README.md index 68299b7a..d557f01f 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# What's new in TensorFlow 2.x +i# What's new in TensorFlow 2.x The following are all the changes coming in TensorFlow 2.x. Let's have a closer look at them: @@ -34,6 +34,10 @@ Below there are two tasks. I highly recommend doing them because while watching 2. [Code yourself](https://github.com/romeokienzler/TensorFlow/blob/master/notebooks/tf2.eagerexec.ipynb) + +Aniket is very a good cricketer. + + ## Integration of the Keras API Actually, Keras is one of the greatest APIs on the planet for DeepLearning. Now Keras has been eaten up by TensorFlow. A bit sad, but in reality it doesn't make any difference since nearly everyone used Keras on top of TensorFlow anyway. So let's consider Keras to be part of TensorFlow (or TensorFlow to be part of Keras). The cool thing is, that you now can use the straightforward, and easy to use Keras API and still can claim to be a TensorFlow developer. Yeah, Google made Keras the official high level API of TensorFlow. diff --git a/aniii.txt b/aniii.txt deleted file mode 100644 index 9821288b..00000000 --- a/aniii.txt +++ /dev/null @@ -1 +0,0 @@ -jkskksdf \ No newline at end of file