-
This extensive course helps you build your network in Tensorflow.Implement different networks with practical examples.Solve common Neural Network problems with TensorFlow.Develop a strong background in neural network programming from scratch, using the popular Tensorflow library.Use Tensorflow to implement different kinds of neural networks – from simple feedforward neural networks to multi layered perceptrons, CNNs, RNNs and more!
Tensorflow is Google’s popular offering for machine learning and deep learning. It has become a popular choice of tool for performing fast, efficient, and accurate Deep Learning. TensorFlow is one of the newest and most comprehensive libraries for implementing Deep Learning and building CNNs. Neural Networks is at the forefront of almost all recent major technology breakthroughs. The intersection of big data, parallel programming, and AI generated a new wave of Neural Network research.Are you looking forward to getting hands-on and use Deep Learning to build CNNs and train efficient Neural Networks? If yes, then this is the course perfect for you!
Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.
This Learning Path takes a solution-based approach where every topic is explicated with the help of a real-world example. Use Tensorflow to implement different kinds of Neural Networks – from simple feedforward Neural Networks to multi-layered perceptrons, CNNs, RNNs and more! Moreover, Implement multi-layered perceptrons, CNN, and more using Tensorflow!
By the end of the course, you’ll not just be able to build powerful Deep Learning models, but also accelerate the training of your models and scale them as required.
This course is perfect for:
Data scientists who are familiar with Python and perform machine learning activities on a day-to-day basis, who are looking forward to building powerful Deep Learning models.
-
Get hands-on and understand Advanced Neural Networks with TensorFlow.
-
Develop an autonomous agent in an Atari environment with OpenAI GymApply NLP and sentiment analysis to your data.
-
Improve the network by understanding the activation function.
-
Explore the input and output of different games in OpenAI Gym.