Deep learning consists of the following three steps: (1) Acquire high-quality knowledge; (2) New knowledge of deep bonding; (3) Output results to teach. This kind of study is bound to give up the security brought by fast learning and learning more. It will take more time, face more difficult situations, and even "suffer". But please believe: the right action is often against nature, make you feel comfortable and easy things often do not get good results, and at the beginning you think uncomfortable and difficult things can make you really harvest, so we can through the following ways to improve gradually. One is to acquire and study first-hand knowledge as much as possible. For example, we can read classics, original works and even academic papers. Classical first-hand knowledge has been accumulated over time, and its value has been proven to be worthy of intensive reading. We need to give up the "read in a few minutes..." "One a day..." "Ten... While these methods are instructive, they are fragmented and chewed up. Although it is more difficult to study in person, you can feel the real pleasure of deep understanding, which is much more comfortable than absorbing shallow second-hand knowledge. Reading this matter is best not to ask people to do, in the long run, is to get their own mining ability.

The second is to try to use their own words to write out the knowledge. After reading a good book of value, I should reconstruct the author's thoughts in my own language in the way of writing, and try my best to explain and extend them by combining my own experience, knowledge and position, rather than simply listing the main points of the book. Because the simple knowledge statement cannot achieve the effect of deep joint, only by knowledge transformation can we use the old knowledge system to deep joint the new knowledge. Therefore, in the reconstruction, we can only take the most impressive ideas and give up other ideas, even if they are very reasonable. Given the chance, we can spend as long as we need to hone a theme or idea. When a piece of work that you've honed touches someone, it has a much bigger impact than writing it every day without deep thought. What's more, writing has a compound interest effect. The articles we write may be read by others at any time, which indirectly achieves the purpose of discussion, communication and teaching others. The third is to reflect on life. Learning is not just about reading books. Life experiences can also be deeply learned. For example, Cheng Jia, author of the book "Study Hard," is very reflective. He spends about two hours every morning on reflection and requires his employees to do the same. In his book, he expends a great deal of ink on the methods and benefits of reflection, saying that the differences between people do not come from age, or even from experience, but from the ability to sum up experience, reflect on it and improve it. Influenced by this idea, I began to write a reflection every day in February 2017, sometimes a few words, sometimes thousands of words. Through continuous reflection, many things that have not been understood have been clarified, many vague concepts have become clear, and many seemingly unrelated things have been connected at the bottom. Constant reflection has enabled me to become more aware of the details of life and get more out of it. The idea and conception of this part also come from daily reflection. If I had to recommend one indispensable habit, it would be daily reflection. In addition to making us no longer impetuous and tempering our sanity, deep learning can also bring many benefits, such as the improvement of cross-border ability. Classical mentioned in the book "What is Possible in Your life" that human ability is divided into three levels of knowledge, skills and abilities: knowledge is the least transferable, you become a doctor of medicine, still may not be able to do mapo tofu; Skills are usually made up of 70% general skills and 30% specialized skills, which are more transferable. At the talent level, the boundaries between professions break down completely. This explains why some people are able to cross over easily, because they already have certain talents through deep learning, which can be applied to other fields as well, so they only need to spend a small amount of time familiarizing themselves with knowledge and skills. On the other hand, if you don't have certain talents, when you move to another field, you have to start over with the basic knowledge and skills, which is very difficult. Deep learning can be even more inspiring. We know that Einstein was on his way to work at the Patent Office when he saw the Bern clock Tower and suddenly had a hypothesis: "If a bus moves at the speed of light, would the hands of the clock tower stand still when viewed from the bus?" This hypothesis led to one of the greatest discoveries of the 20th century, the special theory of relativity. The German chemist Kekule had a dream when he was very tired. He dreamed of a snake biting head to tail. This snake became the clue to his discovery of the molecular structure of benzene. People marvel at the intuition and inspiration of scientists, but Einstein and Kekule would not have had them if they had not been capable of deep learning. Inspiration can only emerge with the help of the subconscious if you have explored your field deeply enough. We may not be scientists, but deep learning also makes us more likely to be surprised. At the same time, deep learning also allows us to see more connections between different things and generate insights. For example, I once took my daughter to see the movie Journey to the West. In the movie, the king of the Kingdom of Women and the Tang priest experienced life and death and said to her, "I had a dream. After many years, you will grow long hair and grow old together with me, but you are not happy. I immediately felt that this was the "future perspective". The king used the perspective of the future to look back at the present and then made the rational decision to restrain his feelings and let the monk go west. Because just a week ago I wrote an article about the future perspective, What to Use to Save Your Action, which I would have never felt before. And the daughter saw only the king is so beautiful, Sun Wukong is so funny...... Moreover, if one accumulates enough cognition in some fields, one can mobilize higher cognition even when facing the distracting things such as movies and TV programs, entertainment gossip or news hot spots, and associate them with useful thinking to produce deeper and more unique insights. As far as I know, many serious growers also like entertainment. For example, Li Xiaolai likes watching movies. I dare say that when they are in the entertainment environment, the rational brain is still in the lead, and they can unconsciously relate to cognition and get inspiration, rather than simply satisfying the original needs of the instinctive and emotional brain. Entertainment hotspots are not without value, and shallow knowledge can also be meaningful, but only if you have a certain depth of cognition -- the breadth below that depth is effective. So much for deep learning, but what should we do about the online knowledge columns, tutorials, listening books and so on? Reject it completely or stay away? I don't think it is necessary, because deep learning and shallow learning are not in conflict, shallow learning also has its value, the key is not to reverse their weight relationship. We can use shallow learning as the entrance to new information, but we can't rely on it for growth. A more reasonable attitude is to focus on deep learning while remaining open to shallow learning. Choose a few noteworthy people and connect with them. Some of the valuable messages they release will lead us to the wider world, but ultimately, read, think, and act on your own. Just like this book, if it touches you, it only opens a new perspective for you. Ultimately, whether you can acquire the ability of deep learning depends on your own actions, and no one can replace you.

Deep learning consists of the following three steps: (1) Acquire high-quality knowledge; (2) New knowledge of deep bonding; (3) Output results to teach. This kind of study is bound to give up the security brought by fast learning and learning more. It will take more time, face more difficult situations, and even "suffer". But please believe: the right action is often against nature, make you feel comfortable and easy things often do not get good results, and at the beginning you think uncomfortable and difficult things can make you really harvest, so we can through the following ways to improve gradually. One is to acquire and study first-hand knowledge as much as possible. For example, we can read classics, original works and even academic papers. Classical first-hand knowledge has been accumulated over time, and its value has been proven to be worthy of intensive reading. We need to give up the "read in a few minutes..." "One a day..." "Ten... While these methods are instructive, they are fragmented and chewed up. Although it is more difficult to study in person, you can feel the real pleasure of deep understanding, which is much more comfortable than absorbing shallow second-hand knowledge. Reading this matter is best not to ask people to do, in the long run, is to get their own mining ability.

The second is to try to use their own words to write out the knowledge. After reading a good book of value, I should reconstruct the author's thoughts in my own language in the way of writing, and try my best to explain and extend them by combining my own experience, knowledge and position, rather than simply listing the main points of the book. Because the simple knowledge statement cannot achieve the effect of deep joint, only by knowledge transformation can we use the old knowledge system to deep joint the new knowledge. Therefore, in the reconstruction, we can only take the most impressive ideas and give up other ideas, even if they are very reasonable. Given the chance, we can spend as long as we need to hone a theme or idea. When a piece of work that you've honed touches someone, it has a much bigger impact than writing it every day without deep thought. What's more, writing has a compound interest effect. The articles we write may be read by others at any time, which indirectly achieves the purpose of discussion, communication and teaching others. The third is to reflect on life. Learning is not just about reading books. Life experiences can also be deeply learned. For example, Cheng Jia, author of the book "Study Hard," is very reflective. He spends about two hours every morning on reflection and requires his employees to do the same. In his book, he expends a great deal of ink on the methods and benefits of reflection, saying that the differences between people do not come from age, or even from experience, but from the ability to sum up experience, reflect on it and improve it. Influenced by this idea, I began to write a reflection every day in February 2017, sometimes a few words, sometimes thousands of words. Through continuous reflection, many things that have not been understood have been clarified, many vague concepts have become clear, and many seemingly unrelated things have been connected at the bottom. Constant reflection has enabled me to become more aware of the details of life and get more out of it. The idea and conception of this part also come from daily reflection. If I had to recommend one indispensable habit, it would be daily reflection. In addition to making us no longer impetuous and tempering our sanity, deep learning can also bring many benefits, such as the improvement of cross-border ability. Classical mentioned in the book "What is Possible in Your life" that human ability is divided into three levels of knowledge, skills and abilities: knowledge is the least transferable, you become a doctor of medicine, still may not be able to do mapo tofu; Skills are usually made up of 70% general skills and 30% specialized skills, which are more transferable. At the talent level, the boundaries between professions break down completely. This explains why some people are able to cross over easily, because they already have certain talents through deep learning, which can be applied to other fields as well, so they only need to spend a small amount of time familiarizing themselves with knowledge and skills. On the other hand, if you don't have certain talents, when you move to another field, you have to start over with the basic knowledge and skills, which is very difficult. Deep learning can be even more inspiring. We know that Einstein was on his way to work at the Patent Office when he saw the Bern clock Tower and suddenly had a hypothesis: "If a bus moves at the speed of light, would the hands of the clock tower stand still when viewed from the bus?" This hypothesis led to one of the greatest discoveries of the 20th century, the special theory of relativity. The German chemist Kekule had a dream when he was very tired. He dreamed of a snake biting head to tail. This snake became the clue to his discovery of the molecular structure of benzene. People marvel at the intuition and inspiration of scientists, but Einstein and Kekule would not have had them if they had not been capable of deep learning. Inspiration can only emerge with the help of the subconscious if you have explored your field deeply enough. We may not be scientists, but deep learning also makes us more likely to be surprised. At the same time, deep learning also allows us to see more connections between different things and generate insights. For example, I once took my daughter to see the movie Journey to the West. In the movie, the king of the Kingdom of Women and the Tang priest experienced life and death and said to her, "I had a dream. After many years, you will grow long hair and grow old together with me, but you are not happy. I immediately felt that this was the "future perspective". The king used the perspective of the future to look back at the present and then made the rational decision to restrain his feelings and let the monk go west. Because just a week ago I wrote an article about the future perspective, What to Use to Save Your Action, which I would have never felt before. And the daughter saw only the king is so beautiful, Sun Wukong is so funny...... Moreover, if one accumulates enough cognition in some fields, one can mobilize higher cognition even when facing the distracting things such as movies and TV programs, entertainment gossip or news hot spots, and associate them with useful thinking to produce deeper and more unique insights. As far as I know, many serious growers also like entertainment. For example, Li Xiaolai likes watching movies. I dare say that when they are in the entertainment environment, the rational brain is still in the lead, and they can unconsciously relate to cognition and get inspiration, rather than simply satisfying the original needs of the instinctive and emotional brain. Entertainment hotspots are not without value, and shallow knowledge can also be meaningful, but only if you have a certain depth of cognition -- the breadth below that depth is effective. So much for deep learning, but what should we do about the online knowledge columns, tutorials, listening books and so on? Reject it completely or stay away? I don't think it is necessary, because deep learning and shallow learning are not in conflict, shallow learning also has its value, the key is not to reverse their weight relationship. We can use shallow learning as the entrance to new information, but we can't rely on it for growth. A more reasonable attitude is to focus on deep learning while remaining open to shallow learning. Choose a few noteworthy people and connect with them. Some of the valuable messages they release will lead us to the wider world, but ultimately, read, think, and act on your own. Just like this book, if it touches you, it only opens a new perspective for you. Ultimately, whether you can acquire the ability of deep learning depends on your own actions, and no one can replace you.