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Learn to set up Machine Learning projects professionally with The Full Stack. Understand the ML lifecycle, project feasibility, archetypes, and the importance of metrics and baselines.
Learn about transfer learning in computer vision, NLP's ImageNet moment, and the rise of Transformers in less than an hour with The Full Stack.
Dive deep into Recurrent Neural Networks with The Full Stack's 1-2 hour material, covering sequence problems, RNN architecture, LSTM variants, and a case study on Google's Machine Translation.
Explore deep learning applications in computer vision with The Full Stack. Understand ConvNet architectures, localization, detection, segmentation, and advanced methods in under an hour.
Dive into Convolutional Neural Networks with The Full Stack's under 1-hour material. Learn about convolution operations, ConvNet architecture, and explore the classic LeNet model.
Dive into deep learning fundamentals with The Full Stack's under 1-hour material. Explore neural networks, learning problems, gradient descent, back-propagation, and more.
Learn to code a neural network from scratch in under an hour with The Full Stack. Get hands-on with Google Colab, Numpy, PyTorch, and Keras to create regression models.
Explore the principles of LLMOps with The Full Stack's brief video guide. Learn to evaluate models, manage prompts, and apply test-driven development to large language model applications.
Explore UX design for Language User Interfaces with The Full Stack's brief, insightful video. Learn user-centered design principles, study LUI patterns, and analyze case studies.
Explore augmented language models with The Full Stack's 1-2 hour video guide. Learn about retrieval augmentation, chaining, and tool use with expert Josh.
Learn to build and deploy AI-powered apps in under an hour with The Full Stack's quick and practical guide.
Explore neural network applications with The Full Stack's brief walkthrough of the "askFSDL bot" project, an LLM-powered Discord bot. Learn about SWE tooling, data cleaning, and more.
Dive into the foundations of large language models with The Full Stack's brief video, covering core ML, Transformer architecture, and notable LLMs.
Master the art of prompting language models with The Full Stack's bootcamp. Learn techniques like decomposition, reasoning, and reflection in under an hour.
Explore the future of AI and language models with The Full Stack's 1-2 hour video, discussing multimodality, scale limits, AGI presence, and safety measures.
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