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diff --git a/examples/nlp/md/text_generation_fnet.md b/examples/nlp/md/text_generation_fnet.md
@@ -218,7 +218,7 @@ The decoder architecture remains the same as the one proposed by (Vaswani et al.
 in the original transformer architecture, consisting of an embedding, positional
 encoding, two masked multihead attention layers and finally the dense output layers.
 The architecture that follows is taken from
-[Deep Learning with Python, second edition, chapter 11](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff).
+[Deep Learning with Python, second edition, chapter 11](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras).
 
 
 ```python

diff --git a/templates/getting_started/faq.md b/templates/getting_started/faq.md
@@ -1037,7 +1037,7 @@ See [this extensive guide](https://www.tensorflow.org/guide/keras/mixed_precisio
 ### What's the difference between `Model` methods `predict()` and `__call__()`?
 
 Let's answer with an extract from
-[Deep Learning with Python, Second Edition](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff):
+[Deep Learning with Python, Second Edition](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras):
 
 > Both `y = model.predict(x)` and `y = model(x)` (where `x` is an array of input data)
 > mean "run the model on `x` and retrieve the output `y`." Yet they aren't exactly

diff --git a/templates/getting_started/index.md b/templates/getting_started/index.md
@@ -8,7 +8,7 @@ Check out our **[Introduction to Keras for researchers](/getting_started/intro_t
 
 Are you a beginner looking for both an introduction to machine learning and an introduction to Keras and TensorFlow?
 You're going to need more than a one-pager. And you're in luck:
-**[we've got just the book for you](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff)**.
+**[we've got just the book for you](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras)**.
 
 
 ## Further starter resources

diff --git a/templates/getting_started/learning_resources.md b/templates/getting_started/learning_resources.md
@@ -13,7 +13,7 @@ If this is your first contact with Keras, you can also check out the guides
 
 ## Books
 
-- [Deep Learning with Python](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff) (second edition), by François Chollet
+- [Deep Learning with Python](https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras) (second edition), by François Chollet
     - [Code examples available on GitHub](https://github.com/fchollet/deep-learning-with-python-notebooks)
 - [Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow](https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/) (second edition), by Aurélien Géron
 - [Practical Machine Learning for Computer Vision](https://www.oreilly.com/library/view/practical-machine-learning/9781098102357/), by Valliappa Lakshmanan, Martin Görner, Ryan Gillard

diff --git a/theme/landing.html b/theme/landing.html
@@ -61,7 +61,7 @@ <h1 class="mb-5">Simple. Flexible. Powerful.</h1>
 
   </header>
 
-<!-- 
+
   <section class="showcase" style="background: black; color: white; padding: 2em; text-align: center;">
       <h3>Looking for a Keras companion course?</h3>
       <h3><b><i>Deep Learning with Python, Second Edition</i></b> is out now.</h3>
@@ -70,7 +70,7 @@ <h3><b><i>Deep Learning with Python, Second Edition</i></b> is out now.</h3>
   <section class="showcase" style=" width: 100%; text-align: center; padding: 2em; padding-top: 0; border-top: black solid 4px; border-bottom: black solid 4px;">
     <div class="container-fluid">
 
-      <a href='https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras&a_bid=76564dff'>
+      <a href='https://www.manning.com/books/deep-learning-with-python-second-edition?a_aid=keras'>
         <img src='https://s3.amazonaws.com/keras.io/dlwp2banner.jpg' style="width: 80%; margin-top: 1em; margin-bottom: 1em;" />
       </a>
 
@@ -81,7 +81,7 @@ <h3><b><i>Deep Learning with Python, Second Edition</i></b> is out now.</h3>
       </div>
     </div>
   </section>
- -->
+
   <!-- Image Showcases -->
   <section class="showcase">
     <div class="container-fluid p-0">