Merge pull request #8 from nickovchinnikov/numerical_instability

Shorten the title and description.
nickovchinnikov · Dec 6, 2024 · 9f61fdc · 9f61fdc
2 parents a88d6d0 + 703e7ba
commit 9f61fdc
Show file tree

Hide file tree

Showing 5 changed files with 9 additions and 9 deletions.
diff --git a/docs/posts/gradient_descent_downhill_to_the_minima.md b/docs/posts/gradient_descent_downhill_to_the_minima.md
@@ -1,6 +1,6 @@
 ---
-title: Gradient Descent - Downhill to the Minima. A Visual Journey to Optimization
-description: Follow along with our interactive Python plot where we demonstrate the gradient descent in action. See how the algorithm navigates through a function's landscape to find the optimal solution. Watch as we code in Python, but also explain the logic behind each line.
+title: Gradient Descent - Downhill to the Minima
+description: Follow along with our interactive Python plot where we demonstrate the gradient descent in action.
 authors:
   - nick
 date:

diff --git a/docs/posts/matmul_broadcasting.md b/docs/posts/matmul_broadcasting.md
@@ -1,6 +1,6 @@
 ---
-title: Matrix Multiplication and Broadcasting - The Heartbeat of Data Transformations
-description: Dive into the essentials of matrix multiplication and broadcasting with simple explanations for deep learning enthusiasts.
+title: Matrix Multiplication and Broadcasting
+description: The Heartbeat of Data Transformations - Dive into the essentials of matrix multiplication and broadcasting.
 authors:
   - nick
 date:

diff --git a/docs/posts/numerical_differentiation.md b/docs/posts/numerical_differentiation.md
@@ -1,6 +1,6 @@
 ---
-title: Mastering Derivatives From Math to Code with Python Numerical Differentiation
-description: Dive into the world of derivatives, from understanding the mathematical fundamentals to implementing Python code. Explore three methods of numerical differentiation - forward, backward, and central. We'll visualize their accuracy, helping you decide the best approach for your computational needs!
+title: Mastering Derivatives and Numerical Differentiation From Math to Code
+description: Dive into the world of derivatives, from understanding the mathematical fundamentals to implementing Python code.
 authors:
   - nick
 date:

diff --git a/docs/posts/numerical_instability.md b/docs/posts/numerical_instability.md
@@ -1,6 +1,6 @@
 ---
-title: Numerical Instability in Numerical Differentiation
-description: Delving into the pitfalls of numerical differentiation, exploring its impact on function optimization, and discussing alternatives for precise gradient computation in machine learning.
+title: Instability in Numerical Differentiation
+description: Delving into the pitfalls of numerical differentiation, exploring its impact on gradient computation.
 authors:
   - nick
 date:

diff --git a/docs/posts/why_does_the_gradient_point_to_the_steepest_ascent.md b/docs/posts/why_does_the_gradient_point_to_the_steepest_ascent.md
@@ -1,6 +1,6 @@
 ---
 title: Why Does the Gradient Point to the Steepest Ascent?
-description: Explore why the gradient vector indicates the direction of steepest ascent for functions, and learn how to visualize and apply this concept in optimization algorithms like gradient descent.
+description: Explore why the gradient vector indicates the direction of steepest ascent for functions.
 authors:
   - nick
 date: