Best of Neural NetworksJanuary 2024

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    mlabonne/llm-course: Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

    This post provides a comprehensive course on large language models (LLMs), covering topics such as LLM fundamentals, Python for machine learning, neural networks, natural language processing (NLP), supervised fine-tuning, reinforcement learning from human feedback, evaluation, quantization, new trends, running LLMs, building a vector storage, retrieval augmented generation (RAG), advanced RAG, inference optimization, deploying LLMs, and securing LLMs.

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    Basics of Image Recognition

    This post explores the basics of image recognition, including the difference between computer vision and image recognition, the tasks of computer vision programs, and how image recognition works using convolutional neural networks (CNNs).

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    Ace Your Deep Learning Job Interview

    Prepare for deep learning job interviews with a comprehensive video course that covers 50 common interview questions and provides detailed explanations. Explore fundamental concepts, key differences between deep learning and traditional machine learning, and advanced topics in deep learning.