By Eder Santana
- Covers the newest techniques in Python deep learning
- Introduction to Tensorflow
- Full of examples of fixing advanced tasks
Deep studying is presently the best services of recommendations concerning difficulties in photo attractiveness, speech acceptance, item popularity, and average language with its expanding variety of libraries which are to be had in Python.
This e-book takes you from uncomplicated calculus wisdom to figuring out backpropagation and its program for education in neural networks for deep studying and knowing automated differentiation. throughout the path, we are going to offer an intensive education in convolutional, recurrent neural networks and concentrate on supervised studying and integration into your product choices reminiscent of seek, picture attractiveness, and item processing. we are going to additionally study the functionality of the sentimental research version and should finish with an creation to Tensorflow.
By the tip of this publication, it is possible for you to to optimistically begin operating with deep studying correct away.
What you are going to learn
- Get the lowdown on backpropagation
- Perceive and comprehend computerized differentiation with Theano
- Explore the strong mechanism of seamless CPU and GPU utilization with Theano
- Apply convolutional neural networks for picture analysis
- Discover the equipment of snapshot type and harness item attractiveness utilizing deep learning
- Get to understand recurrent neural networks for the textual sentimental research model
About the Author
Eder Santana is a PhD candidate on electric and computing device Engineering. His thesis subject is on Deep and Recurrent neural networks. After operating for three years with Kernel Machines (SVMs, details Theoretic studying, and so on), Eder moved to the sphere of deep studying 2.5 years in the past, while he all started studying Theano, Caffe, and different computing device studying frameworks. Now, Eder contributes to Keras: Deep studying Library for Python. in addition to deep studying, he additionally likes information visualization and educating desktop studying, both on on-line boards or as a instructor assistant.
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