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Cute Baby Animals 4K Video Ultra HD | Wildlife 4K UHD | Cinematic Video
There is nothing sweeter and more beautiful than children. Babies of all animals look very helpless, charming and funny.
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More our videos:
Macro in Nature 4K: https://youtu.be/qnL1PP12KzU
Pink Flamingo 4K Video: https://youtu.be/AdFnYJZooF8
Hong Kong 4K Video: https://youtu.be/822UfcAUKGw
The Dolomites 4K: https://youtu.be/1XjbvpzuD1s
Tokyo 4K Video: https://youtu.be/gaN1H4V_nqg
Poland 4K Video: https://youtu.be/zCRv8haPwNs
Seychelles 4K Video: https://youtu.be/xCFU8m1czc0
Rio de Janeiro 4K: https://youtu.be/q84F3zT9Y74
Prague 4K Video: https://youtu.be/7id2ZJn8cgY
Iceland Volcano Eruption 4K: https://youtu.be/EhCLzuHsphE
Georgia 4K Video: https://youtu.be/VZ3M7uZ4IyE
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A walkthrough of how to code a convolutional neural network (CNN) in the Pytorch-framework using MNIST dataset. Explaining it step by step and building the basic architecture of the CNN.
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
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This video explains the original GPT model, "Improving Language Understanding by Generative Pre-Training". I think the key takeaways are understanding that they use a new unlabeled text dataset that requires the pre-training language modeling to incorporate longer range context, the way that they format input representations for supervised fine-tuning, and the different NLP tasks this is evaluated on!
Paper Links:
GPT: https://s3-us-west-2.amazonaws.....com/openai-assets/r
DeepMind "A new model and dataset for long range memory": https://deepmind.com/blog/arti....cle/A_new_model_and_
SQuAD: https://rajpurkar.github.io/SQuAD-explorer/explore/v2.0/dev/Oxygen.html?model=BiDAF%20+%20Self%20Attention%20+%20ELMo%20(single%20model)%20(Allen%20Institute%20for%20Artificial%20Intelligence%20[modified%20by%20Stanford])&version=v2.0
MultiNLI: https://www.nyu.edu/projects/bowman/multinli/
RACE: https://arxiv.org/pdf/1704.04683.pdf
Quora Question Pairs: https://www.quora.com/q/quorad....ata/First-Quora-Data
CoLA: https://arxiv.org/pdf/1805.12471.pdf
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