Published: 10/2024
Created by Vahid Mirjalili, PhD,Taban Eslami
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 44 Lectures ( 2h 14m ) | Size: 853 MB

Object Recognition From Basics to Advanced Techniques

What you'll learn:
Understand the fundamentals of image recognition, including image classification, object detection, and image segmentation (semantic, instance, and panoptic))
Master the underlying theories and principles of key computer vision models, enabling a deep understanding of their functionality and applications
Master PyTorch fundamentals, learn how to build a CNN model, and your custom image dataset
Implement advanced image recognition models and train them in PyTorch

Requirements:
Python Programming Experience: Familiarity with programming, particularly in Python, as it's the primary language used with PyTorch. Students should be comfortable with basic programming concepts and structures.
Understanding of Basic Machine Learning Concepts: A foundational knowledge of machine learning principles, including what models are, how they are trained, and a basic understanding of concepts like classification, regression, overfitting, and underfitting.
Introductory Knowledge of Deep Learning: Familiarity with the basic concepts of neural networks, including what they are and how they are generally structured and trained.

Description:
Computer Vision and Object RecognitionThis course provides a comprehensive journey into computer vision and object recognition, guiding you from the foundational concepts to advanced model implementation and evaluation. Through a hands-on approach, you will explore key computer vision tasks such as image classification, object detection, semantic segmentation, and instance segmentation. The course uses popular datasets like COCO-2017 and CamVid, and frameworks such as PyTorch and FiftyOne to enhance your practical skills.Section 1: Introduction We begin with an overview of the course and object recognition, followed by setting up the necessary environment for efficient implementation.Section 2: Recap of Convolutional Neural Networks (CNNs) This section refreshes your knowledge of CNNs and introduces essential tools like FiftyOne for dataset management, along with tutorials to get familiar with PyTorch.Section 3: Image Classification You will learn to build and train a multi-class image classifier using the COCO-2017 dataset, focusing on classes like cats, dogs, and horses. The classifier is built using a pre-trained ResNet model, demonstrating the process of transfer learning and hyperparameter tuning.Section 4: Object Detection We delve into object detection using two popular models, Faster-RCNN and YOLOv8. You'll prepare datasets, train both models, and analyze their performance using FiftyOne, gaining hands-on experience with both region-based and single-shot detection methods.Section 5: Semantic Segmentation In this section, you will work with the CamVid dataset to understand semantic segmentation, which involves assigning a class to every pixel in an image. Using the segmentation_models_pytorchlibrary, you will train and evaluate a segmentation model to recognize objects in scenes.Section 6: Instance Segmentation We cover instance segmentation, where the goal is to differentiate between multiple instances of the same object class. You'll build and train a Mask-RCNN model for this task, working with segmentation annotations from the COCO-2017 dataset.Throughout the course, we place a strong emphasis on hands-on exercises, real-world datasets, and model evaluation to equip you with the skills needed to tackle practical computer vision challenges. By the end, you will be well-prepared to implement and evaluate various computer vision models, with a solid understanding of the nuances involved in different tasks like classification, detection, and segmentation.

Who this course is for:
Students and Learners in Computer Science: Undergraduate or graduate students who are majoring in computer science, data science, artificial intelligence, or related fields and want to gain practical skills in image recognition using PyTorch.
Aspiring Data Scientists and Machine Learning Engineers: Individuals looking to enter the field of data science or machine learning with a specific interest in image processing and recognition techniques.
AI and Machine Learning Enthusiasts: Individuals who have a keen interest in artificial intelligence and machine learning and want to deepen their understanding of image recognition.
Tech Entrepreneurs: Entrepreneurs or innovators looking to understand image recognition to implement or improve product offerings, particularly in tech-driven markets.

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Written by: Anthony Sharwood
Read by: Anthony Sharwood
Format: MP3
Bitrate: 64 Kbps

The incredible life of the man behind the mountain
By: Anthony Sharwood
Narrated by: Anthony Sharwood
Length: 10 hrs and 26 mins
Release date: 25-09-2024
Language: English
Publisher: Hachette Australia

Heroes are hard to come by - but there’s one man whose legend has stood the test of two centuries, and whose name sits on Australia’s highest peak. Tadeusz Kosciuszko: freedom fighter, friend of Thomas Jefferson and champion of liberty on two continents. Bestselling author Anthony Sharwood finds out why he’s the hero the world needs right now.

Kosciuszko - our iconic highest mountain - is a name familiar to all Australians. But how many people know who the mountain is named after?

Tadeusz Kosciuszko, who lived from 1746 to 1817, is the most famous person Australians probably know absolutely nothing about. A military engineer, freedom fighter, and champion of human rights, this extraordinary revolutionary was crucial to the success of the American War of Independence, then bravely led an uprising against Russia and other invaders in his native Poland, promising freedom and equality to all who joined his cause.

In his day, Kosciuszko was loved and respected across Europe and America. His great friend Thomas Jefferson called him ‘as pure a son of liberty as I have ever known’, while Kosciuszko would later challenge Jefferson to live up to the famous words ‘All men are created equal’ by bequeathing his American funds to free enslaved people, including those on Jefferson’s plantation.

Bestselling author Anthony Sharwood (From Snow to Ash; The Brumby Wars) has spent a lifetime walking, skiing and writing about Kosciuszko National Park. Now he sets off on the trail of the man himself, travelling across the USA, Poland and Switzerland to key sites in Kosciuszko’s life. Returning to Australia where a potential name change from Mt Kosciuszko to an Indigenous name is hotly debated, he walks with the area’s traditional owners and discovers the ancient history of Australia’s highest peak.

Kosciuszko’s life and legacy is enthralling, inspiring and indispensable. But is that reason enough to keep his name on the mountain?

©2024 Anthony Sharwood (P)2024 Hachette Australia Audio

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Written by: Laurie R. King
Read by: Alyssa Bresnahan
Format: MP3
Bitrate: 64 Kbps

A Grave Talent
By: Laurie R. King
Narrated by: Alyssa Bresnahan
Series: Kate Martinelli Mysteries, Book 1
Length: 14 hrs and 14 mins
Release date: 07-03-2013
Language: English
Publisher: W. F. Howes Ltd

A string of shocking murders has occurred in a small community outside of San Francisco, each victim an innocent child.

For Detective Kate Martinelli, just promoted to Homicide, and her partner Alonzo Hawkin it’s going to be a difficult case.

As the detectives dig deeper, they realise there is a coldly calculating and tortuous mind at work which they must outmanoeuvre if they are to prevent further carnage.

©1993 Laurie R. King (P)1996 Recorded Books LLC

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Tracklist:
01 – South Of The Border (Rerecorded) (feat. Jerrod Niemann)
02 – Otra Vez (feat. Alejandro Medina III)
03 – Para Mi (feat. Michael Salgado)
04 – Not The Cowgirl
05 – American Made
06 – Love Like Legends (feat. Alejandro Medina III)
07 – Burn
08 – This Is Mi
09 – Love Like Legends (Acoustic) (feat. Alejandro Medina III)

Release Name: Leah Turner – This Is Mi (2024)
Size: 60.9 MB
Genre: Country
Quality: 320Kbps

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Tracklist:
01 – Big Machine
02 – Names Of Plants and Animals
03 – No One
04 – That’s Life
05 – Oars
06 – No Worries If Not
07 – Strut
08 – Nitrogen
09 – S.U.R.V.I.V.E
10 – On Loss and Overcoming Despair
11 – Top Level Joy
12 – Yeti
13 – Big Machine
14 – No One
15 – That’s Life
16 – Top Level Joy
17 – I Was There

Release Name: Liz Lawrence – Peanuts (2024)
Size: 138.1 MB
Genre: Indie Pop
Quality: 320Kbps

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Tracklist:
01 – Habesha Ting
02 – Toonami
03 – Dancer
04 – Forecast
05 – Westend Girl
06 – Ur Love (The Give In)
07 – Drugs Kicked In

Release Name: Ye Ali & Dcmbr – Rap Sanga (2024)
Size: 38.9 MB
Genre: Rhythm and blues
Quality: 320Kbps

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Tracklist:
01 - Percocet
02 - Bet My Life
03 - Solid Niggaz (feat. Cruch Calhoun)
04 - Buss Down (feat. Fabolous)
05 - Walk Wit Me
06 - Lift Em Up (feat. Swizz Beatz & Benny The Butcher)
07 - Roll Up
08 - Joe Jackson (feat. OT The Real)
09 - All I Know (feat. Quany Gz)
10 - Same Shit (feat. Giggs)
11 - Everything For Sale (feat. Ransom)
12 - The Love Fake (feat. Lyrivelli)
13 - Run Down (feat. Millyz)
14 - The Other Side (feat. Stacy Barthe)
15 - Barbara

Release Name: Dave East – Living Proof (2024)
Size: 121.8 MB
Genre: Hip-Hop
Quality: 320Kbps

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Tracklist:
01 - Breathing (feat. Fabolous)
02 - Need You More (feat. Jadakiss)
03 - Beautiful People
04 - You Ain't The Only One
05 - Never Give Up On Me
06 - Nobody But You
07 - Here I Am
08 - Don’t Fuck Up
09 - Superpowers
10 - Can’t Wait For You
11 - God's Child (feat. Fat Joe)
12 - I Got Plans (feat. A$AP Ferg)

Release Name: Mary J. Blige – Gratitude (2024)
Size: 95 MB
Genre: Rhythm and blues
Quality: 320Kbps

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Tracklist:
01 - Who I Am
02 - Why Why Why
03 - That’s The Dream
04 - Nobody Knows
05 - Isn’t That Enough
06 - Heart of Gold
07 - Heavy
08 - That’ll Be The Day
09 - In Between
10 - The Mountain
11 - Rollin’ Right Along
12 - Hallelujah

Release Name: Shawn Mendes – Shawn (2024)
Size: 71.3 MB
Genre: Pop
Quality: 320Kbps

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Tracklist:
01 - Summer Of Us
02 - Drivin' With You
03 - St. Tropez
04 - Wind In My Sails
05 - Tropical Punch
06 - Sunshine
07 - Like It Want It Need It
08 - Who Do You Love
09 - Dancin' Without Me
10 - Run For It

Release Name: Fitz – Summer Of Us (2024)
Size: 77.2 MB
Genre: Indie Pop
Quality: 320Kbps

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