Cheapest (0$) Deep Learning Hardware Options | 2021
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Staying Current in AI80%
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In this video, I'll give you the cheapest options to get started with deep learning! I'll also mention what paid options you have at your disposal.
You'll get:
✔️ A high-level overview of the deep learning HW landscape
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--- Free options
✅ Google Colab: https://colab.research.google.com/
✅ (Google) Kaggle: https://www.kaggle.com/
✅ Kaggle tips: https://www.kaggle.com/docs/efficient-gpu-usage
If you want to dig deeper:
✅ Colab vs Kaggle: https://towardsdatascience.com/kaggle-vs-colab-faceoff-which-free-gpu-provider-is-tops-d4f0cd625029
Sign-up for 1-month free credits:
✅ Azure ML: https://azure.microsoft.com/en-us/free/machine-learning/search/?&ef_id=Cj0KCQjw5eX7BRDQARIsAMhYLP--LX_y8V5tXNp2AIQH79TiJDc0S9_P694O-Bh75-TahDH_BjMhbxwaAuqBEALw_wcB:G:s&OCID=AID2100645_SEM_Cj0KCQjw5eX7BRDQARIsAMhYLP--LX_y8V5tXNp2AIQH79TiJDc0S9_P694O-Bh75-TahDH_BjMhbxwaAuqBEALw_wcB:G:s&dclid=CjgKEAjw5eX7BRDukp61rqLX0z8SJACF1AMBoJvajYg6QC5LOUWfroyE4zdyncMk1K_MEPbu2CqyafD_BwE
✅ GCP: https://cloud.google.com/free
✅ IBM: https://www.ibm.com/cloud/free
Check out this link for an awesome compilation of your options:
✅ https://github.com/zszazi/Deep-learning-in-cloud
Check out these links for comparisons between cloud options:
✅ https://determined.ai/blog/cloud-v-onprem/
✅ https://medium.com/@akhil.vasvani/what-to-use-for-deep-learning-cloud-services-vs-gpu-385ebaa037ee
✅ https://towardsdatascience.com/maximize-your-gpu-dollars-a9133f4e546a
--- Paid options
Build a budget deep learning PC:
✅ https://www.youtube.com/watch?v=xsnVlMWQj8o&ab_channel=MachineLearningwithPhil
✅ https://www.youtube.com/watch?v=th20fbZfZUc&ab_channel=Pysource
Build your deep learning rig:
✅ https://www.mrdbourke.com/notes-on-building-a-deep-learning-pc/
Why is deep learning rig more cost-effective than the cloud?
✅ https://medium.com/the-mission/why-building-your-own-deep-learning-computer
Watch on YouTube ↗
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Uploads from Aleksa Gordić - The AI Epiphany · Aleksa Gordić - The AI Epiphany · 17 of 60
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Intro | Neural Style Transfer #1
Aleksa Gordić - The AI Epiphany
Basic Theory | Neural Style Transfer #2
Aleksa Gordić - The AI Epiphany
Optimization method | Neural Style Transfer #3
Aleksa Gordić - The AI Epiphany
Advanced Theory | Neural Style Transfer #4
Aleksa Gordić - The AI Epiphany
Anyone can make deepfakes now!
Aleksa Gordić - The AI Epiphany
What is Computer Vision? | The Art of Creating Seeing Machines
Aleksa Gordić - The AI Epiphany
Feed-forward method | Neural Style Transfer #5
Aleksa Gordić - The AI Epiphany
Alan Turing | Computing Machinery and Intelligence
Aleksa Gordić - The AI Epiphany
Feed-forward method (training) | Neural Style Transfer #6
Aleksa Gordić - The AI Epiphany
What is Google Deep Dream? (Basic Theory) | Deep Dream Series #1
Aleksa Gordić - The AI Epiphany
Semantic Segmentation in PyTorch | Neural Style Transfer #7
Aleksa Gordić - The AI Epiphany
How to get started with Machine Learning
Aleksa Gordić - The AI Epiphany
How to learn PyTorch? (3 easy steps) | 2021
Aleksa Gordić - The AI Epiphany
PyTorch or TensorFlow?
Aleksa Gordić - The AI Epiphany
3 Machine Learning Projects For Beginners (Highly visual) | 2021
Aleksa Gordić - The AI Epiphany
Machine Learning Projects (Intermediate level) | 2021
Aleksa Gordić - The AI Epiphany
Cheapest (0$) Deep Learning Hardware Options | 2021
Aleksa Gordić - The AI Epiphany
How to learn deep learning? (Transformers Example)
Aleksa Gordić - The AI Epiphany
How do transformers work? (Attention is all you need)
Aleksa Gordić - The AI Epiphany
Developing a deep learning project (case study on transformer)
Aleksa Gordić - The AI Epiphany
Vision Transformer (ViT) - An image is worth 16x16 words | Paper Explained
Aleksa Gordić - The AI Epiphany
GPT-3 - Language Models are Few-Shot Learners | Paper Explained
Aleksa Gordić - The AI Epiphany
Google DeepMind's AlphaFold 2 explained! (Protein folding, AlphaFold 1, a glimpse into AlphaFold 2)
Aleksa Gordić - The AI Epiphany
Attention Is All You Need (Transformer) | Paper Explained
Aleksa Gordić - The AI Epiphany
Graph Attention Networks (GAT) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
Graph Convolutional Networks (GCN) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
Graph SAGE - Inductive Representation Learning on Large Graphs | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
PinSage - Graph Convolutional Neural Networks for Web-Scale Recommender Systems | Paper Explained
Aleksa Gordić - The AI Epiphany
OpenAI CLIP - Connecting Text and Images | Paper Explained
Aleksa Gordić - The AI Epiphany
Temporal Graph Networks (TGN) | GNN Paper Explained
Aleksa Gordić - The AI Epiphany
Graph Neural Network Project Update! (I'm coding GAT from scratch)
Aleksa Gordić - The AI Epiphany
Graph Attention Network Project Walkthrough
Aleksa Gordić - The AI Epiphany
How to get started with Graph ML? (Blog walkthrough)
Aleksa Gordić - The AI Epiphany
DQN - Playing Atari with Deep Reinforcement Learning | RL Paper Explained
Aleksa Gordić - The AI Epiphany
AlphaGo - Mastering the game of Go with deep neural networks and tree search | RL Paper Explained
Aleksa Gordić - The AI Epiphany
DeepMind's AlphaGo Zero and AlphaZero | RL paper explained
Aleksa Gordić - The AI Epiphany
OpenAI - Solving Rubik's Cube with a Robot Hand | RL paper explained
Aleksa Gordić - The AI Epiphany
MuZero - Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model | RL Paper explained
Aleksa Gordić - The AI Epiphany
EfficientNetV2 - Smaller Models and Faster Training | Paper explained
Aleksa Gordić - The AI Epiphany
Implementing DeepMind's DQN from scratch! | Project Update
Aleksa Gordić - The AI Epiphany
MLP-Mixer: An all-MLP Architecture for Vision | Paper explained
Aleksa Gordić - The AI Epiphany
DeepMind's Android RL Environment - AndroidEnv
Aleksa Gordić - The AI Epiphany
When Vision Transformers Outperform ResNets without Pretraining | Paper Explained
Aleksa Gordić - The AI Epiphany
Non-Parametric Transformers | Paper explained
Aleksa Gordić - The AI Epiphany
Chip Placement with Deep Reinforcement Learning | Paper Explained
Aleksa Gordić - The AI Epiphany
Text Style Brush - Transfer of text aesthetics from a single example | Paper Explained
Aleksa Gordić - The AI Epiphany
Graphormer - Do Transformers Really Perform Bad for Graph Representation? | Paper Explained
Aleksa Gordić - The AI Epiphany
GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation | Paper Explained
Aleksa Gordić - The AI Epiphany
VQ-VAEs: Neural Discrete Representation Learning | Paper + PyTorch Code Explained
Aleksa Gordić - The AI Epiphany
VQ-GAN: Taming Transformers for High-Resolution Image Synthesis | Paper Explained
Aleksa Gordić - The AI Epiphany
Multimodal Few-Shot Learning with Frozen Language Models | Paper Explained
Aleksa Gordić - The AI Epiphany
Focal Transformer: Focal Self-attention for Local-Global Interactions in Vision Transformers
Aleksa Gordić - The AI Epiphany
AudioCLIP: Extending CLIP to Image, Text and Audio | Paper Explained
Aleksa Gordić - The AI Epiphany
RMA: Rapid Motor Adaptation for Legged Robots | Paper Explained
Aleksa Gordić - The AI Epiphany
DALL-E: Zero-Shot Text-to-Image Generation | Paper Explained
Aleksa Gordić - The AI Epiphany
DETR: End-to-End Object Detection with Transformers | Paper Explained
Aleksa Gordić - The AI Epiphany
DINO: Emerging Properties in Self-Supervised Vision Transformers | Paper Explained!
Aleksa Gordić - The AI Epiphany
DeepMind DetCon: Efficient Visual Pretraining with Contrastive Detection | Paper Explained
Aleksa Gordić - The AI Epiphany
Do Vision Transformers See Like Convolutional Neural Networks? | Paper Explained
Aleksa Gordić - The AI Epiphany
Fastformer: Additive Attention Can Be All You Need | Paper Explained
Aleksa Gordić - The AI Epiphany
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