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Deep Learning News
Medium
1w
341
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Unveiling the Secrets of Building Neural Networks from Scratch
- Neural networks are the backbone of revolutionary technologies like image recognition and stock market predictions.
- Learning to build neural networks from scratch can unlock incredible opportunities for personal and professional growth.
- Building neural networks involves understanding the way a human brain operates and combining logic and creativity.
- With practical tips and insights from experts, anyone can develop the skills to build neural networks from scratch.
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Medium
1w
325
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From the Grimoire: Reinforcement Learning (Part 4)
- The article covers Q-learning, Bellman property, replay buffers, polyak averaging, epsilon-greedy search, and general discussion about reinforcement learning.
- Q-Learning involves creating a 'Quality Function' to evaluate state-action pairs using neural networks.
- The Q-function has a recursive property called the Bellman equation, crucial for optimal behavior.
- The article explains the use of TD-error to train the neural network towards an optimal Q-function.
- Off-policy algorithms like Q-learning benefit from replays to improve training data efficiency.
- Introducing a target Q-function and using polyak averaging helps stabilize the optimization loop in Q-learning.
- The article discusses the explore vs. exploit dilemma in RL and the ϵ-greedy strategy for better exploration.
- RL models mimic human behavior and are preferred in game-like scenarios due to their effectiveness.
- Implementing RL requires computational resources, hyperparameter tuning, and trial-and-error for stability.
- The article concludes by emphasizing the importance of understanding RL concepts for effective application and future research.
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Medium
1w
148
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Full Moot: The Math of Nature, the Future of Systems
- Moot is a living language of systems rooted in nature and built with mathematical clarity.
- Moot mimics moss communication through a signal propagation model.
- Full Moot includes real-time learning and scalable growth through feedback and fractal mechanisms.
- Moot introduces the Four-Season Paradox Management System for decay control and renewal.
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Medium
1w
84
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Understanding Convolutional Neural Networks (CNNs) — A Simplified Overview
- CNNs are powerful deep learning models designed to process visual data like images. They automate feature extraction and classification, making them essential in fields like medical imaging, autonomous driving, and facial recognition.
- CNN architecture consists of Convolutional Layers and Pooling Layers. The Convolutional Layers apply filters to extract features and the Pooling Layers reduce the size of feature maps.
- The size of the feature map may not always reduce in every Convolutional Layer. This is because of the padding, stride, and the input and filter dimensions.
- Pooling techniques like Max Pooling, Average Pooling, Global Pooling, Adaptive Pooling, and Mixed Pooling are used in CNNs to further reduce the size of feature maps and improve memory efficiency.
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Medium
1w
55
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AI in Organized Crime: Tackling Tech-Driven Cyber Threats & Solutions
- The intersection of artificial intelligence and organized crime is reshaping the criminal landscape, posing new challenges for law enforcement.
- AI is being exploited by organized crime for various illegal activities, automating tasks that were previously done manually.
- The use of AI by criminals poses a challenge for law enforcement agencies, who need to keep up with the evolving technology to combat cyber threats effectively.
- Understanding the dark side of AI is crucial in order to develop appropriate solutions and strategies to tackle tech-driven cyber threats.
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Medium
1w
94
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How to become charismatic
- To become charismatic, strive to connect with others by finding common interests and mirroring their language.
- Confidence is crucial - practice techniques to calm your nerves in social situations.
- Share topics you genuinely care about and show genuine interest in what others say.
- Stand tall, maintain an open posture, smile often, and give your full attention to others.
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Medium
1w
211
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AI-Generated Photos Are Sweeping the Social Media — At What Price?
- AI-generated images have revolutionized the way digital creatives produce stunning visuals using tools like DALL·E, Midjourney, and Stable Diffusion.
- While AI art enhances creativity and engagement on social media, it also raises ethical issues, copyright disputes, and concerns about misinformation.
- AI-generated content is prevalent on platforms like Instagram, TikTok, and Twitter, from avatars and art challenges to marketing ads and virtual influencers.
- The ease, virality, cost-effectiveness, and constant content supply of AI imagery attract individuals and brands alike.
- However, ethical dilemmas arise concerning ownership, originality, and the potential for misuse of AI-generated images.
- Legal battles over plagiarism, copyright ownership, and the deceptive potential of deepfakes are intensifying within the AI art sphere.
- AI influencers like Lil Miquela blur the line between real and digital personas, presenting advantages for brands in terms of control and customization.
- The future holds increased AI integration on social media platforms, stricter copyright regulations, improved content curation, and enhanced collaboration between AI and humans.
- AI-created imagery is undoubtedly shaping the future of content creation and social media, sparking discussions on innovation, ethics, and the balance between creativity and manipulation.
- As AI continues to redefine the landscape of digital content, the debate on its implications for creativity and authenticity persists within the online community.
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Medium
1w
300
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AGI Explained: The Path to Human-Level AI & Ethical Challenges
- Artificial General Intelligence (AGI) aims to create machines that can think, learn, and reason like humans.
- AGI envisions a future where machines can solve problems, understand emotions, and generate new ideas.
- The quest for AGI started when a computer beat humans at chess, sparking the curiosity about smart machines.
- AGI aspires to develop computers that can handle any intellectual task, making them as versatile as the human brain.
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17 Likes
Medium
1w
166
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Meta’s $65B AI Investment: Revolutionizing the Llama Model and AI Innovation
- Meta Platforms Inc. is investing $65 billion in order to enhance its AI capabilities and establish a strong presence in the AI market.
- The investment will revolutionize the Llama model and other AI initiatives, driving innovation and advancing AI services.
- Meta's bold financial commitment aims to reshape its AI trajectory and make a significant impact on the industry.
- The $65 billion investment has generated excitement and debate among tech conference attendees, sparking curiosity about its potential implications.
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9 Likes
Medium
1w
65
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Qwen 2.5: Alibaba’s AI Breakthrough in Multimodal Reasoning & Efficiency
- Alibaba Cloud unveils Qwen 2.5, an innovative AI model.
- Qwen 2.5 combines efficiency and reasoning for a seamless user experience.
- The model transforms human-machine interaction, making it more intuitive.
- Qwen 2.5 goes beyond speed and data handling, redefining technology use.
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3 Likes
Medium
1w
48
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How I created my own Neural Network from scratch (and how you can too)!
- In this article, a Feed-Forward Neural Network (FFN) is built using only numpy to identify handwritten digits from the MNIST dataset.
- Prior proficiency in Python is assumed, with a recommendation to refer to 3Blue1Brown’s videos on neural networks for beginners.
- The creation involves understanding neuron functions, weights, biases, and implementing them in code step by step.
- Introduction of non-linearity using activation functions like ReLU for better neural network performance and learning.
- Exploration of loss functions such as cross-entropy to evaluate model performance and feedback for improvement.
- Backpropagation process involves computing gradients, updating weights and biases using derivatives and softmax functions.
- Training the network involves dividing data into batches for efficiency and avoiding issues like exploding gradients.
- Testing and adjusting the epochs to balance between accuracy and overfitting to fine-tune the neural network model.
- The article concludes with successfully building a neural network achieving 92.45% accuracy in identifying handwritten digits.
- Readers are encouraged to experiment with parameters, test on different datasets, and further explore deep learning topics for continuous learning.
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Medium
1w
169
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Introduction to SLEAP: A Powerful Framework for Animal Pose Tracking
- SLEAP is a powerful framework for animal pose tracking that uses deep learning models to accurately detect key body points without the need for markers.
- It offers markerless tracking, multi-animal tracking, a user-friendly interface, high accuracy & speed, and customizable models.
- SLEAP uses neural networks to learn spatial patterns in animal movements, enabling the prediction of poses in new videos and analysis of movement patterns.
- It is widely used in research laboratories for studying animal behavior, investigating neurological disorders, and optimizing robotic movements inspired by biological systems.
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Fourweekmba
1w
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The AI Value Chain
- The AI industry is structured in layers, starting from hardware to cloud infrastructure, AI models, vertical AI applications, and consumer apps/hardware.
- Key players in AI hardware include NVIDIA, Google, AMD, Intel, and startups like Cerebras, Graphcore, and Hailo.
- Leading cloud AI providers are AWS, Microsoft Azure, Google Cloud, IBM Cloud, and Oracle Cloud.
- Key players in AI models include OpenAI, DeepMind, Microsoft, Hugging Face, and Run:ai.
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22 Likes
Medium
1w
306
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Digital Twins, Extended Reality, and Artificial Intelligence in Manufacturing Recinfiguration…
- Digital Twins are dynamic, real-time virtual replicas of physical manufacturing assets, enabling simulation, monitoring, and analysis.
- Extended Reality improves human-machine interactions with immersive interfaces, visualizing complex processes and guiding reconfigurations.
- Artificial Intelligence enhances manufacturing through predictive analytics, real-time decision-making, and automation.
- Integrating Digital Twins, Extended Reality, and Artificial Intelligence provides real-time data visualization, predictive insights, and supports seamless reconfigurations.
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18 Likes
Medium
1w
42
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How I Made $500 Selling Coloring Books Online
- Selling coloring books online can be a lucrative opportunity, with potential to earn $500 in the first week.
- The Profitable Coloring Pages PLR Pack offers over 750 unique designs, allowing for customization and personalization.
- Creating themed bundles can multiply earnings and cater to specific niches, appealing to a broader audience.
- The market demand for children's educational items is growing, making this a promising entrepreneurial venture.
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