{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Practical AI","title":"Celebrating episode 50 and the neural net!","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/6441430e\"></iframe>","width":"100%","height":180,"duration":3055,"description":"Woo hoo! As we celebrate reaching episode 50, we come full circle to discuss the basics of neural networks. If you are just jumping into AI, then this is a great primer discussion with which to take that leap.\nOur commitment to making artificial intelligence practical, productive, and accessible to everyone has never been stronger, so we invite you to join us for the next 50 episodes!\n\nFeaturing:\nChris Benson – Website, GitHub, LinkedIn, X\nDaniel Whitenack – Website, GitHub, X\nShow Notes:\nLearn more about neural networks with the following learning resources.\nBooks\n“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville\n“Data Science from Scratch” by Joel Grus\nThere are literally too many others to name…\nOnline Courses\nfast.ai MOOC\nDeep Learning course by Google on Udacity (free)\nPractical Machine Learning with TensorFlow 2.0 Alpha (free Udacity course)\ndeeplearning.ai Deep Learning Specialization\nIntroduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (free Coursera course for TensorFlow 2)\nIntro to TensorFlow for Deep Learning by TensorFlow (free Udacity course for TensorFlow 2)\nWebsites\nMicrosoft AI School\nTensorFlow 2 Docs\nAmazon Machine Learning Training\nPyTorch\nFacebook AI\nGoogle AI\nUpcoming Events: \nRegister for upcoming webinars here!","thumbnail_url":"https://img.transistorcdn.com/Ox7ZlyiQOhdDa4Qy1MnJH5WFoksAetrzb40Jo1pePFs/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMTZi/ZWJmNWIwNDdmYTcw/NGJjMTExZjNjZmYy/M2ZjNS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}