How Do I Learn Neural Networks?
I'm a freshman undergraduate student (mentioning this so you may forgive my unfamiliarity) who is currently doing research using neural networks. I've coded a three-node neural network (that works) based on my professor's guidance. However, I'd like to pursue a career in AI and Data Science, and I'd like to teach myself more about these properly in-depth. Are there any books or resources that will teach me more about neural network structures, deep learning, etc. Are there any recommendations?
Note: I'm proficient in Java, Python, Bash, JavaScript, Matlab, and know a bit of C++.
machine-learning neural-network
asked 13 hours ago
Furkan Toprak
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I'm a freshman undergraduate student (mentioning this so you may forgive my unfamiliarity) who is currently doing research using neural networks. I've coded a three-node neural network (that works) based on my professor's guidance. However, I'd like to pursue a career in AI and Data Science, and I'd like to teach myself more about these properly in-depth. Are there any books or resources that will teach me more about neural network structures, deep learning, etc. Are there any recommendations?
Note: I'm proficient in Java, Python, Bash, JavaScript, Matlab, and know a bit of C++.
machine-learning neural-network
asked 13 hours ago
Furkan Toprak
241
New contributor
Furkan Toprak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I'm a freshman undergraduate student (mentioning this so you may forgive my unfamiliarity) who is currently doing research using neural networks. I've coded a three-node neural network (that works) based on my professor's guidance. However, I'd like to pursue a career in AI and Data Science, and I'd like to teach myself more about these properly in-depth. Are there any books or resources that will teach me more about neural network structures, deep learning, etc. Are there any recommendations?
Note: I'm proficient in Java, Python, Bash, JavaScript, Matlab, and know a bit of C++.
machine-learning neural-network
asked 13 hours ago
Furkan Toprak
241
New contributor
Furkan Toprak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I'm a freshman undergraduate student (mentioning this so you may forgive my unfamiliarity) who is currently doing research using neural networks. I've coded a three-node neural network (that works) based on my professor's guidance. However, I'd like to pursue a career in AI and Data Science, and I'd like to teach myself more about these properly in-depth. Are there any books or resources that will teach me more about neural network structures, deep learning, etc. Are there any recommendations?
Note: I'm proficient in Java, Python, Bash, JavaScript, Matlab, and know a bit of C++.
machine-learning neural-network
machine-learning neural-network
asked 13 hours ago
Furkan Toprak
241
New contributor
Furkan Toprak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 13 hours ago
Furkan Toprak
241
New contributor
Furkan Toprak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 13 hours ago
Furkan Toprak
241
New contributor
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Check out our Code of Conduct.
asked 13 hours ago
Furkan Toprak
241
asked 13 hours ago
Furkan Toprak
241
241
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Furkan Toprak is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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5 Answers
5
active
oldest
votes
If you want a good and solid start for deep learning, I would suugest to start with the appropriately named book "Deep Learning" by Ian Goodfellow et al. After that you'll have a good base that you can expend by the many different tutorials, articles and courses available online.
However, I would also add that before doing that, you should take some basic "machine learning" class (should be available at your University). Many people these days go straight to deep learning and implementing Neural networks because it is relatively easy, but than they lack the understanding to improve it or use it to its fullest potential.
answered 11 hours ago
Mark.F
41814
I completely agree with this. A lot of ML and NN has "knowledge dependencies" where it is easiest not to jump into the hard stuff without building a sufficient background in some of the underlying techniques/concepts. Beyond Calculus and Linear Algebra, build a foundation in some of the basic machine learning concepts (especially mathematically)
– Ethan
1 hour ago
add a comment |
I highly suggest you to read this great book: hands on machine learning with Scikit and Tensorflow. Neural networks are presented succinctly in chapters 9 and 10. There are a lot of examples for you to practice. To effectively understand the script of examples you should have background of Python programming.
Have a nice day!
answered 11 hours ago
Nga Dao
294
add a comment |
As other suggested are very good resources. If you want in depth Knowledge, I would suggest course by Andrew Ng on coursera. It covers in depth knowledge of basics of ML and if you are confused about whether you begin with AI, ML or deep learning You could follow the blog link in my profile.I recently posted how to go with these technologies.
PS: I am not advertising here my blog. I am just helping. If you want to follow you may follow otherwise just go with Andrew Ng
answered 5 hours ago
Gaurav
212
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Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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Ng is kind of a classic, and his new re-worked speciality is up-to-date, and additionally features interviews with a lot of the big names in the subject (Hinton, Le Cunn, Goodfellow, and many more, etc.). Taking this course will give you a good grounding, and is something you are likely to have in common with other practitioners of your generation. I would do it for that last reason alone - note that it is not very hard - the Coursera course by Hinton is far harder, but a bit dated now.
– Mike Wise
1 hour ago
add a comment |
I suggest starting with Google’s Crash Course on ML if you want to revisit the basics. I then suggest to follow fast.ai’s ML and DL lessons. For reading I suggest Introduction to Machine Learning by Alex Smola and S.V.N. Vishwanathan.
Have a nice day!
answered 6 hours ago
margobra8
111
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Deep Learning with Python by François Chollet is a great, high-level introduction into deep learning by the author of Keras.
answered 1 hour ago
Ethan
12812
add a comment |
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5 Answers
5
active
oldest
votes
5 Answers
5
active
oldest
votes
active
oldest
votes
active
oldest
votes
If you want a good and solid start for deep learning, I would suugest to start with the appropriately named book "Deep Learning" by Ian Goodfellow et al. After that you'll have a good base that you can expend by the many different tutorials, articles and courses available online.
However, I would also add that before doing that, you should take some basic "machine learning" class (should be available at your University). Many people these days go straight to deep learning and implementing Neural networks because it is relatively easy, but than they lack the understanding to improve it or use it to its fullest potential.
answered 11 hours ago
Mark.F
41814
I completely agree with this. A lot of ML and NN has "knowledge dependencies" where it is easiest not to jump into the hard stuff without building a sufficient background in some of the underlying techniques/concepts. Beyond Calculus and Linear Algebra, build a foundation in some of the basic machine learning concepts (especially mathematically)
– Ethan
1 hour ago
add a comment |
If you want a good and solid start for deep learning, I would suugest to start with the appropriately named book "Deep Learning" by Ian Goodfellow et al. After that you'll have a good base that you can expend by the many different tutorials, articles and courses available online.
However, I would also add that before doing that, you should take some basic "machine learning" class (should be available at your University). Many people these days go straight to deep learning and implementing Neural networks because it is relatively easy, but than they lack the understanding to improve it or use it to its fullest potential.
answered 11 hours ago
Mark.F
41814
I completely agree with this. A lot of ML and NN has "knowledge dependencies" where it is easiest not to jump into the hard stuff without building a sufficient background in some of the underlying techniques/concepts. Beyond Calculus and Linear Algebra, build a foundation in some of the basic machine learning concepts (especially mathematically)
– Ethan
1 hour ago
add a comment |
If you want a good and solid start for deep learning, I would suugest to start with the appropriately named book "Deep Learning" by Ian Goodfellow et al. After that you'll have a good base that you can expend by the many different tutorials, articles and courses available online.
However, I would also add that before doing that, you should take some basic "machine learning" class (should be available at your University). Many people these days go straight to deep learning and implementing Neural networks because it is relatively easy, but than they lack the understanding to improve it or use it to its fullest potential.
answered 11 hours ago
Mark.F
41814
If you want a good and solid start for deep learning, I would suugest to start with the appropriately named book "Deep Learning" by Ian Goodfellow et al. After that you'll have a good base that you can expend by the many different tutorials, articles and courses available online.
However, I would also add that before doing that, you should take some basic "machine learning" class (should be available at your University). Many people these days go straight to deep learning and implementing Neural networks because it is relatively easy, but than they lack the understanding to improve it or use it to its fullest potential.
answered 11 hours ago
Mark.F
41814
answered 11 hours ago
Mark.F
41814
answered 11 hours ago
Mark.F
41814
answered 11 hours ago
Mark.F
41814
41814
I completely agree with this. A lot of ML and NN has "knowledge dependencies" where it is easiest not to jump into the hard stuff without building a sufficient background in some of the underlying techniques/concepts. Beyond Calculus and Linear Algebra, build a foundation in some of the basic machine learning concepts (especially mathematically)
– Ethan
1 hour ago
add a comment |
I completely agree with this. A lot of ML and NN has "knowledge dependencies" where it is easiest not to jump into the hard stuff without building a sufficient background in some of the underlying techniques/concepts. Beyond Calculus and Linear Algebra, build a foundation in some of the basic machine learning concepts (especially mathematically)
– Ethan
1 hour ago
I completely agree with this. A lot of ML and NN has "knowledge dependencies" where it is easiest not to jump into the hard stuff without building a sufficient background in some of the underlying techniques/concepts. Beyond Calculus and Linear Algebra, build a foundation in some of the basic machine learning concepts (especially mathematically)
– Ethan
1 hour ago
I completely agree with this. A lot of ML and NN has "knowledge dependencies" where it is easiest not to jump into the hard stuff without building a sufficient background in some of the underlying techniques/concepts. Beyond Calculus and Linear Algebra, build a foundation in some of the basic machine learning concepts (especially mathematically)
– Ethan
1 hour ago
add a comment |
I highly suggest you to read this great book: hands on machine learning with Scikit and Tensorflow. Neural networks are presented succinctly in chapters 9 and 10. There are a lot of examples for you to practice. To effectively understand the script of examples you should have background of Python programming.
Have a nice day!
answered 11 hours ago
Nga Dao
294
add a comment |
I highly suggest you to read this great book: hands on machine learning with Scikit and Tensorflow. Neural networks are presented succinctly in chapters 9 and 10. There are a lot of examples for you to practice. To effectively understand the script of examples you should have background of Python programming.
Have a nice day!
answered 11 hours ago
Nga Dao
294
add a comment |
I highly suggest you to read this great book: hands on machine learning with Scikit and Tensorflow. Neural networks are presented succinctly in chapters 9 and 10. There are a lot of examples for you to practice. To effectively understand the script of examples you should have background of Python programming.
Have a nice day!
answered 11 hours ago
Nga Dao
294
I highly suggest you to read this great book: hands on machine learning with Scikit and Tensorflow. Neural networks are presented succinctly in chapters 9 and 10. There are a lot of examples for you to practice. To effectively understand the script of examples you should have background of Python programming.
Have a nice day!
answered 11 hours ago
Nga Dao
294
answered 11 hours ago
Nga Dao
294
answered 11 hours ago
Nga Dao
294
answered 11 hours ago
Nga Dao
294
294
add a comment |
add a comment |
As other suggested are very good resources. If you want in depth Knowledge, I would suggest course by Andrew Ng on coursera. It covers in depth knowledge of basics of ML and if you are confused about whether you begin with AI, ML or deep learning You could follow the blog link in my profile.I recently posted how to go with these technologies.
PS: I am not advertising here my blog. I am just helping. If you want to follow you may follow otherwise just go with Andrew Ng
answered 5 hours ago
Gaurav
212
New contributor
Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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Ng is kind of a classic, and his new re-worked speciality is up-to-date, and additionally features interviews with a lot of the big names in the subject (Hinton, Le Cunn, Goodfellow, and many more, etc.). Taking this course will give you a good grounding, and is something you are likely to have in common with other practitioners of your generation. I would do it for that last reason alone - note that it is not very hard - the Coursera course by Hinton is far harder, but a bit dated now.
– Mike Wise
1 hour ago
add a comment |
As other suggested are very good resources. If you want in depth Knowledge, I would suggest course by Andrew Ng on coursera. It covers in depth knowledge of basics of ML and if you are confused about whether you begin with AI, ML or deep learning You could follow the blog link in my profile.I recently posted how to go with these technologies.
PS: I am not advertising here my blog. I am just helping. If you want to follow you may follow otherwise just go with Andrew Ng
answered 5 hours ago
Gaurav
212
New contributor
Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Ng is kind of a classic, and his new re-worked speciality is up-to-date, and additionally features interviews with a lot of the big names in the subject (Hinton, Le Cunn, Goodfellow, and many more, etc.). Taking this course will give you a good grounding, and is something you are likely to have in common with other practitioners of your generation. I would do it for that last reason alone - note that it is not very hard - the Coursera course by Hinton is far harder, but a bit dated now.
– Mike Wise
1 hour ago
add a comment |
As other suggested are very good resources. If you want in depth Knowledge, I would suggest course by Andrew Ng on coursera. It covers in depth knowledge of basics of ML and if you are confused about whether you begin with AI, ML or deep learning You could follow the blog link in my profile.I recently posted how to go with these technologies.
PS: I am not advertising here my blog. I am just helping. If you want to follow you may follow otherwise just go with Andrew Ng
answered 5 hours ago
Gaurav
212
New contributor
Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
As other suggested are very good resources. If you want in depth Knowledge, I would suggest course by Andrew Ng on coursera. It covers in depth knowledge of basics of ML and if you are confused about whether you begin with AI, ML or deep learning You could follow the blog link in my profile.I recently posted how to go with these technologies.
PS: I am not advertising here my blog. I am just helping. If you want to follow you may follow otherwise just go with Andrew Ng
answered 5 hours ago
Gaurav
212
New contributor
Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 5 hours ago
Gaurav
212
New contributor
Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 5 hours ago
Gaurav
212
answered 5 hours ago
Gaurav
212
212
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Check out our Code of Conduct.
New contributor
Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Gaurav is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Ng is kind of a classic, and his new re-worked speciality is up-to-date, and additionally features interviews with a lot of the big names in the subject (Hinton, Le Cunn, Goodfellow, and many more, etc.). Taking this course will give you a good grounding, and is something you are likely to have in common with other practitioners of your generation. I would do it for that last reason alone - note that it is not very hard - the Coursera course by Hinton is far harder, but a bit dated now.
– Mike Wise
1 hour ago
add a comment |
Ng is kind of a classic, and his new re-worked speciality is up-to-date, and additionally features interviews with a lot of the big names in the subject (Hinton, Le Cunn, Goodfellow, and many more, etc.). Taking this course will give you a good grounding, and is something you are likely to have in common with other practitioners of your generation. I would do it for that last reason alone - note that it is not very hard - the Coursera course by Hinton is far harder, but a bit dated now.
– Mike Wise
1 hour ago
Ng is kind of a classic, and his new re-worked speciality is up-to-date, and additionally features interviews with a lot of the big names in the subject (Hinton, Le Cunn, Goodfellow, and many more, etc.). Taking this course will give you a good grounding, and is something you are likely to have in common with other practitioners of your generation. I would do it for that last reason alone - note that it is not very hard - the Coursera course by Hinton is far harder, but a bit dated now.
– Mike Wise
1 hour ago
Ng is kind of a classic, and his new re-worked speciality is up-to-date, and additionally features interviews with a lot of the big names in the subject (Hinton, Le Cunn, Goodfellow, and many more, etc.). Taking this course will give you a good grounding, and is something you are likely to have in common with other practitioners of your generation. I would do it for that last reason alone - note that it is not very hard - the Coursera course by Hinton is far harder, but a bit dated now.
– Mike Wise
1 hour ago
add a comment |
I suggest starting with Google’s Crash Course on ML if you want to revisit the basics. I then suggest to follow fast.ai’s ML and DL lessons. For reading I suggest Introduction to Machine Learning by Alex Smola and S.V.N. Vishwanathan.
Have a nice day!
answered 6 hours ago
margobra8
111
New contributor
margobra8 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I suggest starting with Google’s Crash Course on ML if you want to revisit the basics. I then suggest to follow fast.ai’s ML and DL lessons. For reading I suggest Introduction to Machine Learning by Alex Smola and S.V.N. Vishwanathan.
Have a nice day!
answered 6 hours ago
margobra8
111
New contributor
margobra8 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
I suggest starting with Google’s Crash Course on ML if you want to revisit the basics. I then suggest to follow fast.ai’s ML and DL lessons. For reading I suggest Introduction to Machine Learning by Alex Smola and S.V.N. Vishwanathan.
Have a nice day!
answered 6 hours ago
margobra8
111
New contributor
margobra8 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
I suggest starting with Google’s Crash Course on ML if you want to revisit the basics. I then suggest to follow fast.ai’s ML and DL lessons. For reading I suggest Introduction to Machine Learning by Alex Smola and S.V.N. Vishwanathan.
Have a nice day!
answered 6 hours ago
margobra8
111
New contributor
margobra8 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
answered 6 hours ago
margobra8
111
New contributor
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answered 6 hours ago
margobra8
111
answered 6 hours ago
margobra8
111
111
New contributor
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New contributor
margobra8 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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margobra8 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
add a comment |
add a comment |
Deep Learning with Python by François Chollet is a great, high-level introduction into deep learning by the author of Keras.
answered 1 hour ago
Ethan
12812
add a comment |
Deep Learning with Python by François Chollet is a great, high-level introduction into deep learning by the author of Keras.
answered 1 hour ago
Ethan
12812
add a comment |
Deep Learning with Python by François Chollet is a great, high-level introduction into deep learning by the author of Keras.
answered 1 hour ago
Ethan
12812
Deep Learning with Python by François Chollet is a great, high-level introduction into deep learning by the author of Keras.
answered 1 hour ago
Ethan
12812
answered 1 hour ago
Ethan
12812
answered 1 hour ago
Ethan
12812
answered 1 hour ago
Ethan
12812
12812
add a comment |
add a comment |
Furkan Toprak is a new contributor. Be nice, and check out our Code of Conduct.
Furkan Toprak is a new contributor. Be nice, and check out our Code of Conduct.
Furkan Toprak is a new contributor. Be nice, and check out our Code of Conduct.
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