Navan Chauhan

zip -r -s 5 oodlesofnoodles.zip website/ +Navan ChauhanI try to post tutorials, tips and tricks related to programming, designing and just some science stuffhttps://navanchauhan.github.io/SwiftWebsite/enSat, 4 Jan 2020 14:57:36 +0530Sat, 4 Jan 2020 14:57:36 +0530250https://navanchauhan.github.io/SwiftWebsite/posts/splitting-zipsSplitting ZIPs into Multiple PartsShort code snippet for splitting zips.https://navanchauhan.github.io/SwiftWebsite/posts/splitting-zipsSun, 8 Dec 2019 13:27:00 +0530Splitting ZIPs into Multiple PartsTested on macOS Creating the archive: zip -r -s 5 oodlesofnoodles.zip website/ 5 stands for each split files' size (in mb, kb and gb can also be specified) For encrypting the zip: zip -er -s 5 oodlesofnoodles.zip website Extracting Files First we need to collect all parts, then zip -F oodlesofnoodles.zip --out merged.zip - ]]>https://navanchauhan.github.io/SwiftWebsite/tutorials/custom-image-classifier-keras-tensorflowCreating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting MalariaShort tutorial for creating a custom image classifier using TF 2.0https://navanchauhan.github.io/SwiftWebsite/tutorials/custom-image-classifier-keras-tensorflowSun, 8 Dec 2019 11:27:00 +0530Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting MalariaDone during Google Code-In. Org: Tensorflow. Imports %tensorflow_version 2.x #This is for telling Colab that you want to use TF 2.0, ignore if running on local machine + ]]>https://navanchauhan.github.io/SwiftWebsite/tutorials/custom-image-classifier-keras-tensorflowCreating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting MalariaShort tutorial for creating a custom image classifier using TF 2.0https://navanchauhan.github.io/SwiftWebsite/tutorials/custom-image-classifier-keras-tensorflowSun, 8 Dec 2019 11:27:00 +0530Creating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting MalariaDone during Google Code-In. Org: Tensorflow. Imports %tensorflow_version 2.x #This is for telling Colab that you want to use TF 2.0, ignore if running on local machine from PIL import Image # We use the PIL Library to resize images import numpy as np @@ -61,7 +61,7 @@ model.add(layers.Dense(500,activation="relu")) model.add(layers.Dropout(0.2)) model.add(layers.Dense(2,activation="softmax"))#2 represent output layer neurons model.summary() - Compiling Model We use the adam optimiser as it is an adaptive learning rate optimization algorithm that's been designed specifically for training deep neural networks, which means it changes its learning rate automaticaly to get the best results model.compile(optimizer="adam", + Compiling Model We use the Adam optimizer as it is an adaptive learning rate optimization algorithm that's been designed specifically for training deep neural networks, which means it changes its learning rate automatically to get the best results model.compile(optimizer="adam", loss="sparse_categorical_crossentropy", metrics=["accuracy"]) Training Model We train the model for 10 epochs on the training data and then validate it using the testing data history = model.fit(X_train,y_train, epochs=10, validation_data=(X_test,y_test)) diff --git a/index.html b/index.html index 9246253..8b17584 100644 --- a/index.html +++ b/index.html @@ -1 +1 @@ -Hi | Navan ChauhanNavan ChauhanPosts Tutorials Hi I try to post tutorials, tips and tricks related to programming, designing and just some science stuff Latest content Splitting ZIPs into Multiple Parts code-snippet article Short code snippet for splitting zips. Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Hello World hello-world article My first post. Made with ❤️ using Publish RSS feed \ No newline at end of file +Hi | Navan ChauhanNavan ChauhanPosts Tutorials Hi I try to post tutorials, tips and tricks related to programming, designing and just some science stuff Latest content Splitting ZIPs into Multiple Parts code-snippet article Short code snippet for splitting zips. Creating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Hello World hello-world article My first post. Made with ❤️ using Publish RSS feed \ No newline at end of file diff --git a/sitemap.xml b/sitemap.xml index 7693c89..01a16ee 100644 --- a/sitemap.xml +++ b/sitemap.xml @@ -1 +1 @@ -https://navanchauhan.github.io/SwiftWebsite/postsdaily1.02020-01-01https://navanchauhan.github.io/SwiftWebsite/posts/splitting-zipsmonthly0.52020-01-02https://navanchauhan.github.io/SwiftWebsite/posts/hello-worldmonthly0.52020-01-02https://navanchauhan.github.io/SwiftWebsite/tutorialsdaily1.02020-01-01https://navanchauhan.github.io/SwiftWebsite/tutorials/custom-image-classifier-keras-tensorflowmonthly0.52020-01-01 \ No newline at end of file +https://navanchauhan.github.io/SwiftWebsite/postsdaily1.02020-01-01https://navanchauhan.github.io/SwiftWebsite/posts/splitting-zipsmonthly0.52020-01-04https://navanchauhan.github.io/SwiftWebsite/posts/hello-worldmonthly0.52020-01-02https://navanchauhan.github.io/SwiftWebsite/tutorialsdaily1.02020-01-01https://navanchauhan.github.io/SwiftWebsite/tutorials/custom-image-classifier-keras-tensorflowmonthly0.52020-01-04 \ No newline at end of file diff --git a/styles.css b/styles.css index 7d131ff..700a0de 100644 --- a/styles.css +++ b/styles.css @@ -14,7 +14,7 @@ body { background: #fff; color: #000; - font-family: Helvetica, Arial; + font-family: -apple-system, BlinkMacSystemFont; /*,Helvetica, Arial;*/ text-align: center; } @@ -40,12 +40,10 @@ header { height: 200px; } */ + header .wrapper { - padding: 0; - margin: 0; - max-width: none; - /* padding-top: 30px; - padding-bottom: 30px; */ + padding-top: 30px; + padding-bottom: 30px; text-align: center; } @@ -65,8 +63,16 @@ nav { nav li { display: inline-block; + background-color: #000; + color: #ddd; + padding: 4px 6px; + border-radius: 5px; + margin-right: 5px; +} +nav li:hover { + color: #000; + background-color: #ddd; } - h1 { margin-bottom: 20px; font-size: 2em; @@ -155,6 +161,15 @@ footer { header .site-name { color: #ddd; } + nav li { + background-color: #ddd; + color: #000; + + } + nav li:hover { + color: #ddd; + background-color: #000; + } .item-list > li { background-color: #333; diff --git a/tags/colab/index.html b/tags/colab/index.html index 3e63ad6..62a5d30 100644 --- a/tags/colab/index.html +++ b/tags/colab/index.html @@ -1 +1 @@ -Navan ChauhanNavan ChauhanPosts Tutorials Tagged with colab Browse all tagsCreating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Made with ❤️ using Publish RSS feed \ No newline at end of file +Navan ChauhanNavan ChauhanPosts Tutorials Tagged with colab Browse all tagsCreating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Made with ❤️ using Publish RSS feed \ No newline at end of file diff --git a/tags/tutorial/index.html b/tags/tutorial/index.html index 9bac7ed..881bb94 100644 --- a/tags/tutorial/index.html +++ b/tags/tutorial/index.html @@ -1 +1 @@ -Navan ChauhanNavan ChauhanPosts Tutorials Tagged with tutorial Browse all tagsCreating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Made with ❤️ using Publish RSS feed \ No newline at end of file +Navan ChauhanNavan ChauhanPosts Tutorials Tagged with tutorial Browse all tagsCreating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Made with ❤️ using Publish RSS feed \ No newline at end of file diff --git a/tutorials/custom-image-classifier-keras-tensorflow/index.html b/tutorials/custom-image-classifier-keras-tensorflow/index.html index 9ea32fe..c3518fd 100644 --- a/tutorials/custom-image-classifier-keras-tensorflow/index.html +++ b/tutorials/custom-image-classifier-keras-tensorflow/index.html @@ -1,4 +1,4 @@ -Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria | Navan ChauhanNavan ChauhanPosts Tutorials Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria Done during Google Code-In. Org: Tensorflow. Imports %tensorflow_version 2.x #This is for telling Colab that you want to use TF 2.0, ignore if running on local machine +Creating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting Malaria | Navan ChauhanNavan ChauhanPosts Tutorials Creating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting Malaria Done during Google Code-In. Org: Tensorflow. Imports %tensorflow_version 2.x #This is for telling Colab that you want to use TF 2.0, ignore if running on local machine from PIL import Image # We use the PIL Library to resize images import numpy as np @@ -58,7 +58,7 @@ model.add(layers.Dense(500,activation="relu")) model.add(layers.Dropout(0.2)) model.add(layers.Dense(2,activation="softmax"))#2 represent output layer neurons model.summary() - Compiling Model We use the adam optimiser as it is an adaptive learning rate optimization algorithm that's been designed specifically for training deep neural networks, which means it changes its learning rate automaticaly to get the best results model.compile(optimizer="adam", + Compiling Model We use the Adam optimizer as it is an adaptive learning rate optimization algorithm that's been designed specifically for training deep neural networks, which means it changes its learning rate automatically to get the best results model.compile(optimizer="adam", loss="sparse_categorical_crossentropy", metrics=["accuracy"]) Training Model We train the model for 10 epochs on the training data and then validate it using the testing data history = model.fit(X_train,y_train, epochs=10, validation_data=(X_test,y_test)) diff --git a/tutorials/index.html b/tutorials/index.html index a0cdf48..92794b8 100644 --- a/tutorials/index.html +++ b/tutorials/index.html @@ -1 +1 @@ -Tutorials | Navan ChauhanNavan ChauhanPosts Tutorials Tutorials Creating a Custom Image Classifier using Tensorflow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Made with ❤️ using Publish RSS feed \ No newline at end of file +Tutorials | Navan ChauhanNavan ChauhanPosts Tutorials Tutorials Creating a Custom Image Classifier using TensorFlow 2.x and Keras for Detecting Malaria tutorial colab Short tutorial for creating a custom image classifier using TF 2.0 Made with ❤️ using Publish RSS feed \ No newline at end of file -- cgit v1.2.3