Learning how to learn deep learning（学习笔记）
Mastering the ways to effectively acquire and apply deep learning techniques
I am a software engineer dedicated to coding daily, crafting intricate systems by converting business needs into application logic and delivering solutions primarily on schedule. I have dabbled in various programming languages but now rely on my go-to toolset for most tasks. With years of experience under my belt, I am confident in my abilities but am always eager to tackle new challenges that will expand my skill set further.
I don't need to worry about it. Mathematics is crucial, but I shouldn't forget that a coder can use code-based methods to train models.
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Keep code simple and maintain its essence.
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Identify a partner involved in criminal activities.
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Minimize mental fatigue by avoiding tasks that are either overly complex or uninteresting.
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The key is to strike a balance between ambition and practicality.
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It's advisable to dedicate yourself to a single pursuit rather than attempting to effortlessly juggle multiple tasks, as humans are notorious for being poor at multi-tasking.
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Maintain a steady pace, eschew multitasking, and adopt incremental approaches.
(作者推荐的学习路径)
1. [fast.ai](http://www.fast.ai/) 2. Andrew Ng教授的最新Coursera课程系列该系列包含五个模块：从神经网络基础到深度学习的核心原理（包括卷积神经网络的基础知识），再到序列模型（适用于语音识别、音乐生成以及时间序列数据分析）。
Set your goals and focus on those fields where applying deep learning technologies will yield results that excite and satisfy you. Working with topics or projects that resonate with your interests will help maintain motivation. You require a feedback loop, a mechanism to achieve tangible outcomes from your experiments.
1. If you are热衷于 visual arts (cinema, photography, video, fine arts), engage with Computer Vision. These neural networks are designed to classify objects within images. The system is capable of pointing out areas of interest such as anomalies in MRI scans or pedestrians in video feeds. Additionally, these systems can detect emotions or age from portraits. They can also identify people in real-time across various camera angles. Furthermore, these systems can use AI to create original artworks like never before.
2. Those who have a deeper interest in sound may utilize neural networks to compose music via such platforms. They may also classify different musical genres and curate new tracks through resources like Spotify. Additionally, exploring voice style transfer enables one to mimic the speaking patterns of another individual.
3. If you're an enthusiast of gaming , you should consider exploring Reinforcement learning.
4. If you are dedicated to improving user experience and enhancing customer satisfaction, focus on studying Natural Language Processing and chatbots. This approach will enable you to automate interactions with your customers by identifying the intent behind a message, organizing support tickets, and providing ready responses to frequently asked queries.
Be competitive
保持最新动态
deep学习的快速进步既是恩也是难。
加入专业俱乐部获取最新资讯。偶尔参加培训课程也不错但需注意筛选课程内容。
Use your programming chops
所以啊！编程是基础！！
Finally, brush up your math
- ML领域的圣经：
"Deep Learning (Adaptive Computation and Machine Learning)" by Ian Goodfellow, Yoshua Bengio and Aaron Courville, 被誉为《深度学习书籍》，这是一部被誉为机器学习领域的经典著作。这本书涵盖了从基础概念到前沿技术的系统性介绍，深入探讨了深度学习算法、神经网络架构及其在各领域的应用。
它不仅提供了理论基础，还提供了丰富的实践指导。
ps:
Useful resources:请见大佬的网页。