Adding week 5 and week 6 content

Author: Sergikavtaradze

our-initiatives/tutorials/2024-2025/index.mdx

@@ -18,6 +18,7 @@ This academic year, the tutorial series is being delivered by the following peop
 - [Zachary Baker](#) (ML Officer)
 - [Paul Chaminieu](#) (ML Officer)
 - [Anna-Maria](#) (ML Officer)
+- [Franciszek Nowak](#) (ML Officer - Visual Computing I)
 
 ## DOXA Challenges
 
@@ -40,7 +41,7 @@ During the first half term, we aim to cover basic concepts of **classical ML**:
 - Tutorial 0: **Introduction to AI**
 - Tutorial 1: **Introduction to Python**
 - Tutorial 2: **Regression**
-- Tutorial 3: **Classification I**
+- Tutorial 3: **Classification I** (Doxa)
 - Tutorial 4: **Classification II** 
 
 After reading week, we will focus on **Deep Learning**!
@@ -55,7 +56,7 @@ After reading week, we will focus on **Deep Learning**!
 
 - Tutorial 10: **Natural Language Processing I**
 - Tutorial 11: **Natural Language Processing II**
-- Tutorial 12: **Graph neural networks / Reinforcement learning**
+- Tutorial 12: **Graph Neural Networks / Reinforcement Learning**
 
 ## Previous Seasons
 

our-initiatives/tutorials/2024-2025/neural-networks.md

@@ -0,0 +1,15 @@
+---
+sidebar_position: 7
+---
+
+# 4: Neural Networks
+
+**Date: 13th November 2024**
+
+🚀 Exciting news! This week, we're embarking on a thrilling journey into the world of Deep Learning with our first tutorial on Neural Networks (NN)! 🧠 We'll kick things off by exploring the basic building blocks of these powerful models: the neurons. 🎇 Get ready to unravel the mysteries of activation functions that determine how each neuron responds and the crucial role of loss in guiding our model's learning process. 📈 As we venture further, you'll discover how the forward pass calculates the outputs of our model, and how backwards propagation works to refine the parameters iteratively. 🎨 The real beauty of NN lies in their ability to process unstructured data like images, learning to recognize intricate patterns for tasks such as image recognition - but we'll save that excitement for next time! 🚀
+
+You can access our **demonstration notebook** here: 📘 [**Tutorial 5 Notebook**](https://github.com/UCLAIS/ml-tutorials-season-5/blob/main/week-5/neural_networks.ipynb)
+
+You can access our **slides** here: 💻 [**Tutorial 5 Slides**](https://www.canva.com/design/DAGSELwCr3o/Tazd7gsGR7ldtOsRMiWuEQ/view?utm_content=DAGSELwCr3o&utm_campaign=designshare&utm_medium=link&utm_source=editor)
+
+The **recording** from this session is available here: 🎤 [**Tutorial 5 Recording**](https://youtu.be/j9w3-LQ4wHU)

our-initiatives/tutorials/2024-2025/visual-computing-1.md

@@ -0,0 +1,16 @@
+---
+sidebar_position: 8
+---
+
+# 5: Visual Computing I
+
+**Date: 20th November 2024**
+
+🌟 Get ready to dive into the captivating realm of visual computing! 📷 This amazing field encompasses a wide array of techniques designed to process and analyze visual data, such as images and videos. 🎥 We'll explore the art of image representation, where we transform visual content into digital formats, typically using pixels with RGB values. 🖌️ We'll also delve into the world of preprocessing techniques like normalization, resizing, and rotation, which help us create the perfect dataset for training our neural networks. 🧩 Get ready to be amazed by the power of Convolutional Neural Networks (CNNs) 🎨! These networks use kernels to extract features and uncover the hidden patterns within visual data. 🔍 We'll learn about classic CNN architectures like AlexNet, VGG, and ResNet, and see how they've revolutionized image classification and object detection. 🌍 Buckle up for an unforgettable adventure in the realm of visual computing! 🚀
+
+Make sure to participate in the [**DOXA Challenge**](https://doxaai.com/competition/cifar-10) for this week on the CIFAR-10 dataset. The default solution is already provided, but we recomend you change the architecture and add augmentations. Also have a look at our **demonstration notebook** here: 📘 [**Tutorial 6 Notebook**](https://github.com/UCLAIS/ml-tutorials-season-5/blob/main/week-6/Visual_Computing_1.ipynb)
+
+You can access our **slides** here: 💻 [**Tutorial 6 Slides**](https://www.canva.com/design/DAGSEOBHg_w/FBDwdQyMvbNmJZtvT8Vp5Q/view?utm_content=DAGSEOBHg_w&utm_campaign=designshare&utm_medium=link&utm_source=editor)
+
+The **recording** from this session is available here (This week it is on Zoom): 🎤 [**Tutorial 6 Recording**](https://ucl.zoom.us/rec/play/7z4igfPHxlWIGoGQAUNYEYa6q1EU97cxe_DRL5cTw5oszHd5vnS5uDnZav_u8cAft6fKduXlzQs_yg8p.rsDAE1RghIGcH4iz?canPlayFromShare=true&from=share_recording_detail&continueMode=true&componentName=rec-play&originRequestUrl=https%3A%2F%2Fucl.zoom.us%2Frec%2Fshare%2Fm4kFm2Uy9xid-_FOAPS2vBYewgqRS3z0mrN27nHgaWPZouAbpiSoKfi6RRyjFe9w.MuHWjQK2b_e5qfoE)
+**Passcode**: =SoFE*7V