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No Starch Press<p>Build real-world AI systems with a focus on doing, not just theory. This fully updated guide covers everything from classical models to CNNs, self-supervised learning, and large language models—always with working code and practical experiments. </p><p>Now includes fine-tuning, generative models, and a full audio classification case study. Code samples are freely available on GitHub.</p><p><a href="https://nostarch.com/practical-deep-learning-python-2E" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">nostarch.com/practical-deep-le</span><span class="invisible">arning-python-2E</span></a></p><p><a href="https://mastodon.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://mastodon.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DeepLearning</span></a> <a href="https://mastodon.social/tags/PythonAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PythonAI</span></a></p>
LavX News<p>Unlocking the Secrets of LLMs: A Comprehensive Course for Developers</p><p>As large language models (LLMs) continue to reshape the tech landscape, a new course emerges to empower developers with hands-on coding skills. Dive into the intricacies of LLM architecture and functi...</p><p><a href="https://news.lavx.hu/article/unlocking-the-secrets-of-llms-a-comprehensive-course-for-developers" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">news.lavx.hu/article/unlocking</span><span class="invisible">-the-secrets-of-llms-a-comprehensive-course-for-developers</span></a></p><p><a href="https://ioc.exchange/tags/news" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>news</span></a> <a href="https://ioc.exchange/tags/tech" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tech</span></a> <a href="https://ioc.exchange/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>MachineLearning</span></a> <a href="https://ioc.exchange/tags/LargeLanguageModels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>LargeLanguageModels</span></a> <a href="https://ioc.exchange/tags/PythonAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PythonAI</span></a></p>
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