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fast.AI to fast.ai in conclusion

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Brad S 2020-03-11 21:56:25 +08:00
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20_conclusion.ipynb
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@ -18,7 +18,7 @@
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"Congratulations! You've made it! If you have worked through all of the notebooks to this point, then you have joined a small, but growing group of people that are able to harness the power of deep learning to solve real problems. You may not feel that way; in fact you probably do not feel that way. We have seen again and again that students that complete the fast.AI courses dramatically underestimate how effective they are as deep learning practitioners. We've also seen that these people are often underestimated by those that have come out of a classic academic background. So for you to rise above your own expectations and the expectations of others what you do next, after closing this book, is even more important than what you've done to get to this point.\n",
"Congratulations! You've made it! If you have worked through all of the notebooks to this point, then you have joined a small, but growing group of people that are able to harness the power of deep learning to solve real problems. You may not feel that way; in fact you probably do not feel that way. We have seen again and again that students that complete the fast.ai courses dramatically underestimate how effective they are as deep learning practitioners. We've also seen that these people are often underestimated by those that have come out of a classic academic background. So for you to rise above your own expectations and the expectations of others what you do next, after closing this book, is even more important than what you've done to get to this point.\n",
"\n",
"The most important thing is to keep the momentum going. In fact, as you know from your study of optimisers, momentum is something which can build upon itself! So think about what it is you can do now to maintain and accelerate your deep learning journey. <<do_next>> can give you a few ideas."
]
@ -48,7 +48,7 @@
"\n",
"Hopefully, by this point, you have a few little projects that you put together, and experiments that you've run. Our recommendation is generally to pick one of these and make it as good as you can. Really polish it up into the best piece of work that you can — something you are really proud of. This will force you to go much deeper into a topic, which will really test out your understanding, and give you the opportunity to see what you can do when you really put your mind to it.\n",
"\n",
"Also, you may want to take a look at the fast.AI free online course which covers the same material as this book. Sometimes, seeing the same material in two different ways, can really help to crystallise the ideas. In fact, human learning researchers have found that this is one of the best ways to learn material — to see the same thing from different angles, described in different ways.\n",
"Also, you may want to take a look at the fast.ai free online course which covers the same material as this book. Sometimes, seeing the same material in two different ways, can really help to crystallise the ideas. In fact, human learning researchers have found that this is one of the best ways to learn material — to see the same thing from different angles, described in different ways.\n",
"\n",
"Your final mission, should you choose to accept it, is to take this book, and give it to somebody that you know — and let somebody else start their way down their own deep learning journey!"
]
@ -69,20 +69,8 @@
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