From 98d6103f015931ee35040f6934d73cdfb20d644f Mon Sep 17 00:00:00 2001 From: Shivendra k jha <47923680+skjha1@users.noreply.github.com> Date: Tue, 23 Feb 2021 16:47:00 +0530 Subject: [PATCH] Update README.md --- 01 Aptitute/00 Extra/01 Vocabulary/February/README.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/01 Aptitute/00 Extra/01 Vocabulary/February/README.md b/01 Aptitute/00 Extra/01 Vocabulary/February/README.md index 732b3da..75508b0 100644 --- a/01 Aptitute/00 Extra/01 Vocabulary/February/README.md +++ b/01 Aptitute/00 Extra/01 Vocabulary/February/README.md @@ -1,7 +1,9 @@ -#### In this section there will be 5 Vocabulary updated on daily basis, this will enhance your communication personality. +#### In this section there will be 5 Vocabulary updated on daily basis, this will enhance your communication personality. + + ***23/02/2021 *** -| Notebook | Description | +| WORD | Meaning | |--------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------| | [tsf-basics](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/1_intro/basic_operations.ipynb) | Learn basic operations in TensorFlow, a library for various kinds of perceptual and language understanding tasks from Google. | | [tsf-linear](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/2_basic_classifiers/linear_regression.ipynb) | Implement linear regression in TensorFlow. | @@ -13,4 +15,4 @@ | [tsf-rnn](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/3_neural_networks/recurrent_network.ipynb) | Implement recurrent neural networks in TensorFlow. | | [tsf-gpu](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/4_multi_gpu/multigpu_basics.ipynb) | Learn about basic multi-GPU computation in TensorFlow. | | [tsf-gviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/graph_visualization.ipynb) | Learn about graph visualization in TensorFlow. | -| [tsf-lviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/loss_visualization.ipynb) | Learn about loss visualization in TensorFlow. | \ No newline at end of file +| [tsf-lviz](http://nbviewer.ipython.org/github/donnemartin/data-science-ipython-notebooks/blob/master/deep-learning/tensor-flow-examples/notebooks/5_ui/loss_visualization.ipynb) | Learn about loss visualization in TensorFlow. |