What could be more lovely and joyful than watching wild animals and wildlife! Our team and Gondwana Game Reserve want to share this incredible wild nature with you! South Africa is the cradle of a rich and strikingly beautiful flora and fauna. Relish bright ambient music filled with serenity and bliss. Enjoy the perfect video shooting of the 8K resolution! The glorious images of baboons, hippos, giraffes, genets, zebras and various antelopes can be the best relaxing and healing therapy for your mind. You will see rhinos, buffaloes and elephants which are included in the Africa's Big Five. Feel the restorative effect of reconnecting with nature from the first minutes of this marvelous scenic wildlife film.

Video from: Gondwana Game Reserve, South Africa
Video resolution: #8K
Equipment used: Red Camera
Video type: Nature Scenic Film
Executive producer: Roman Khomlyak, Pro Art Inc.
Cinematographer: Robert Hofmeyr
Editor and colorist: Daryna Syz
Supervising editor: Anatolii Pylypenko
Special THANKS to our professional filmmakers and editors for their fascinating, creative, hard, and challenging work.
To find out more about Gondwana Game Reserve click here: https://gondwanagr.co.za

Take an incredible journey through the Wild Nature of South Africa while watching this video on http://proartinc.net​​ and http://beautifulwashington.com
Rest your body and soul in the #GondwanaGameReserve, without any risks of being attacked or overheated, right from the couch! Give new positive and exciting experience to your children, the elderly and pets by playing this scenic film at home. Urban children will learn to love nature and progress in their studies. You will have a chance to unplug from the hectic city life and unwind, while contemplating the pristine, natural and real #wildlife. We hope this will help you understand the importance of preserving endangered species.

The benefits of virtual wildlife gazing are much greater than you might think:
- This is a real joy for the elderly and kids
- It teaches us to appreciate and protect the nature of our planet
- A chance to travel to South Africa safely and for free
- This is a great way to refresh your mind, lift up your spirits and be touched
- The perfect solution for a fun evening or coffee break

Bring the unique ambience of South African to the space of any waiting room, spa, resort, office, hospital, lobby, restaurant, lounge, dental clinic, public transport, pet shop, gym, vet clinic, picture gallery, library, etc. For the ultimate quality, use your Oled TV, Samsung 4K HDR TV, Sony 4K TV, LG 4K TV, etc.

To watch our videos without ads and watermarks subscribe to our relax app: https://4krelax.com

For licensing questions: http://goo.gl/i0VUj6

Please SUBSCRIBE to my 4K RELAXATION CHANNEL so you do not miss anything.

All the music used in the video is licensed through musicbed.com artlist.io and soundstripe.com
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An actually-open-AI model is available for you to download the weights to and tinker with, GPT-J. It's a 6 billion parameter large language model that can do long-form natural language generation, do programming, be a chatbot, do translations, and much more.

GPT-J Text examples: https://pythonprogramming.net/....GPT-J-6b-parm-transf
GPT-J Github: https://github.com/kingoflolz/mesh-transformer-jax
The Pile paper: https://arxiv.org/pdf/2101.00027.pdf
GPT-J Web demo: https://6b.eleuther.ai/
EleutherAI: https://www.eleuther.ai/
Multimodal Few-Shot Learning with
Frozen Language Models: https://arxiv.org/pdf/2106.13884.pdf

Neural Networks from Scratch book: https://nnfs.io
Channel membership: https://www.youtube.com/channe....l/UCfzlCWGWYyIQ0aLC5
Discord: https://discord.gg/sentdex
Reddit: https://www.reddit.com/r/sentdex/
Support the content: https://pythonprogramming.net/support-donate/
Twitter: https://twitter.com/sentdex
Instagram: https://instagram.com/sentdex
Facebook: https://www.facebook.com/pythonprogramming.net/
Twitch: https://www.twitch.tv/sentdex

With plenty of machine learning tools currently available, why would you ever choose an artificial neural network over all the rest? This clip and the next could open your eyes to their awesome capabilities! You'll get a closer look at neural nets without any of the math or code - just what they are and how they work. Soon you'll understand why they are such a powerful tool!

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

Deep Learning is primarily about neural networks, where a network is an interconnected web of nodes and edges. Neural nets were designed to perform complex tasks, such as the task of placing objects into categories based on a few attributes. This process, known as classification, is the focus of our series.

Classification involves taking a set of objects and some data features that describe them, and placing them into categories. This is done by a classifier which takes the data features as input and assigns a value (typically between 0 and 1) to each object; this is called firing or activation; a high score means one class and a low score means another. There are many different types of classifiers such as Logistic Regression, Support Vector Machine (SVM), and Naïve Bayes. If you have used any of these tools before, which one is your favorite? Please comment.

Neural nets are highly structured networks, and have three kinds of layers - an input, an output, and so called hidden layers, which refer to any layers between the input and the output layers. Each node (also called a neuron) in the hidden and output layers has a classifier. The input neurons first receive the data features of the object. After processing the data, they send their output to the first hidden layer. The hidden layer processes this output and sends the results to the next hidden layer. This continues until the data reaches the final output layer, where the output value determines the object's classification. This entire process is known as Forward Propagation, or Forward prop. The scores at the output layer determine which class a set of inputs belongs to.

Links:
Michael Nielsen's book - http://neuralnetworksanddeeplearning.com/
Andrew Ng Machine Learning - https://www.coursera.org/learn/machine-learning
Andrew Ng Deep Learning - https://www.coursera.org/speci....alizations/deep-lear

Have you worked with neural nets before? If not, is this clear so far? Please comment.
Neural nets are sometimes called a Multilayer Perceptron or MLP. This is a little confusing since the perceptron refers to one of the original neural networks, which had limited activation capabilities. However, the term has stuck - your typical vanilla neural net is referred to as an MLP.

Before a neuron fires its output to the next neuron in the network, it must first process the input. To do so, it performs a basic calculation with the input and two other numbers, referred to as the weight and the bias. These two numbers are changed as the neural network is trained on a set of test samples. If the accuracy is low, the weight and bias numbers are tweaked slightly until the accuracy slowly improves. Once the neural network is properly trained, its accuracy can be as high as 95%.


Credits:
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal