Deep Learning – Crash Course 2021
$84.99 Track price
You might have seen in many articles as –
AI is the new future
Deep Learning Will Make Truly Self–Driving Cars a Reality
Deep Learning hottest career for the next decade
Deep Learning aides in Scientific discovery
… the list goes on!!!
Yes. AI is the new future, with the various technological advancements in hardware and software, Deep Learning algorithms are able to perform better compared to last decade. Combined with true power in hardware and research for better Deep Learning models, the field AI is growing exponentially.
With all the latest demand we have in this present world, We at ManifoldAILearning decided to create the course – DEEP LEARNING from Scratch– Keras Tensorflow
With this course, you will kick start your journey into deep learning and build intuition on Deep Neural Networks with hands on exercise and high quality video tutorial.
This is the course structure of Deep learning :
Basic Nuts & Bolts of Deep Learning
Crash Course on Python
Understanding various models in Deep learning
Implement Deep learning neural networks using keras with Tensorflow backend
Implement Deep learning on common types of problems like Binary Classification, Multi Class classification & Regression
Courses : 4
Specification: Deep Learning – Crash Course 2021
9 reviews for Deep Learning – Crash Course 2021
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good teaching pace , can follow the topics
Damodar Mahanta –
Very nicely step by step elaborated the neural network for easy understanding. The tutorial is designed very methodical way to make the subject interesting. I can confidently say that this tutorial will definitely help the student who wants to learn neural network.
One of the best course, very informative & the author has started from really basics which helped me a lot, and then built the concepts around it.
course structure is very good. The complex concept of deep neural networks has been taught in a very easy to follow step by step process. i liked it
Sangeetha Shetty –
best explanation & video visual for explaining the neural networks and basics
Edward Sanchiaz –
Excellent course on Deep learning, i liked the chapter wise assignments for each concept in deep learning. Helped me to build hands on knowledge on the topics. Good course
Siva Prasad –
i liked the way the learning progressed from working on Single Neuron, then implementing deep neural networks. good structure in learning
Aaron McKee –
While I dont currently have the knowledge to know why we are normalizing the data in the way it is being done, nor would I have any idea what functions to use to perform the conversions, the instructions and steps are clear and easy to follow. I am sure with experimentation and experience those other skills can be had. I like the course so far and am looking forward to actually training some models