top of page

Ian McClurg Group

Public·31 members
Hamlet Nekrasov
Hamlet Nekrasov

Jungle (2017)2017

Jungle is a 2017 Australian biographical survival drama film, based on the true story of Israeli adventurer Yossi Ghinsberg's 1981 journey into the Amazon rainforest. Directed by Greg McLean and written by Justin Monjo, the film stars Daniel Radcliffe as Ghinsberg, with Alex Russell, Thomas Kretschmann, Yasmin Kassim, Joel Jackson, and Jacek Koman in supporting roles.

Jungle (2017)2017

During conversation the Austrian stranger, Karl Ruprechter, claims the existence of an indigenous tribe in the jungle that they should go see. Karl says he knows the jungle, and he is friends with the tribe.

Yossi, excited about the prospect of exploring the uncharted jungle and meeting undiscovered peoples like the Toromonas, chooses to believe him. He heads back to the apartment to convince Marcus and Kevin to come along. Skeptical of the stranger and his story, they refuse. Yossi continues to press them until they ultimately acquiesce.

Yossi, Marcus, Kevin, and Karl hike through the jungle for several days. They make it to a village called Asriamas where it is apparent Karl knows the villagers. They spend the day in the village and stay overnight, then head back into the jungle the next morning.

Yossi is washed away by the river, leaving Kevin behind. Without a knife, tools, or any kind of survival training, Yossi must improvise shelter and forage to survive. He begins to give up hope after losing all sense of direction, wondering if he will survive the jungle. He is alone for at least two weeks, during which time he has several hallucinations regarding his past.

The new LEGO City Jungle sets should release worldwide on 1 June 2017, although depending on where you live, you may get sets a little earlier if retailers start breaking the street date.

Keep your camp well-supplied in the LEGO City jungle with the Jungle Air Drop Helicopter, featuring 2 spinning rotors, a clamp system to carry the pallet platform or truck, work tower with rotating crane, riverboat that holds 2 pallets or motorbikes, a temple, collapsible bridge, movable statue, buildable Venus flytrap and a 44 truck with winch. Includes 7 minifigures, plus tiger, crocodile and 2 spider figures.

Explore what lies within the LEGO City jungle on a Jungle Halftrack Mission, featuring a truck with tracks on the back wheels, storage space for the chain and tool elements, plus an ATV with removable crate, a buildable campfire and a buildable temple with diamond element and moveable stone that releases a spider. Includes 2 minifigures, plus panther and spider figures.

Head deep into the LEGO City jungle with the Jungle Explorer Helicopter, featuring an opening minifigure cockpit, spinning rotors and working winch, an ATV with space for a minifigure, a treasure box and a temple with moving leaf revealing a gold-colored chalice. Includes 2 minifigures, plus a spider figure.

Discover what lurks on the banks of the river in the LEGO City jungle with the Jungle Starter Set, featuring a boat with space for gear and 3 minifigures, a tree with hidden treasure, camera and a working magnifying glass. Includes 3 minifigures, plus snake, frog and crocodile figures.

Go exploring in the wilds of the LEGO City jungle with the Jungle Buggy featuring a minifigure cockpit and space in the back for machete and binoculars elements, plus a buildable statue with hidden diamond element, moving leaf and a red spider figure. Includes a minifigure.

Quite like the Air Drop Helicopter, but at that price it really should have included more of a base camp, all these supply vehicles and no base of operations, not even so much as a tent! Also pretty light on foliage and scenery for a jungle, this is a set that could have benefitted from one of the old baseplates with the river or mountains on it. Exploration Site does a much better job in that regard and really digging the plane wreckage.

Jungle [2017] directed by Greg Mclean tells the true story of a group of friends who venture out into the Bolivian jungle only to find the trip will be much more difficult than anticipated. Starring Daniel Radcliffe, Thomas Kretschmann, Alex Russell, and Joel Jackson.

When first announced, Jumanji: Welcome to the Jungle was a movie nobody wanted. Like the reboot of the all-female Ghostbusters (Paul Feig, 2016), Jumanji: Welcome to the Jungle garnered equal hatred from both fans and critics alike. Whether it was due to the late Robin Williams passing in 2014 or the robust childhood nostalgia sparked by the original film, Jumanji (Joe Johnston, 1995) was one of those films that was better left untouched and persevered by the fond memories of the past. Releasing on December 20, 2017, twenty-two years after the original film, Jumanji: Welcome to the Jungle ranked number one at the box office for three straight weeks. After its second week on the market, the film had overtaken Star Wars: The Last Jedi (Rian Johnson, 2017) and has earned a domestic total of approximately 400 million dollars on a 90-million-dollar budget. The film has also earned favorable reviews from critics and fans, currently holding a 76% critic score and an 89% audience score on Rotten Tomatoes. Jumanji: Welcome to the Jungle is not only a surprising economic success, but it is simply a great, modernized, self-aware, progressive film that surpasses the original in every way.

The 2017 Rumble in the Jungle took riders through the wilds of Sri Lanka. From tea plantations, to villages and mountain passes. Four days of racing gave riders a rich experience of Sri Lankan life and customs, plus a whirlwind tour of the areas they passed through.

The wind started to pick its pace come nightfall and bits and pieces of trash slowly rose from the ground, like a sinister (and, frankly, really gross) tornado. Although the lack of garbage bins around was evident, it is the lack of discipline to keep the area orderly that is even more alarming. If anything, this incident is the perfect reminder that it is each and everyone's responsibility to clean as we go and to keep our jungles garbage-free, the real ones or otherwise.

Action thriller based on real events directed by Greg McLean. Jungle (2017) follows Yossi Ghinsberg (Daniel Radcliffe), an Israeli backpacker who with his two friends set off into the Bolivian jungle being guided by an Austrian expat named Karl Ruprechter (Thomas Kretschmann), who had met the friends just days before and claimed to be familiar with the region. However, their dreams soon turn into a nightmare when Ruprechter abandons them and leaves them for dead.

Yossi Ghinsberg: I left Israel in 1980, after three years in the army. I was desperate to escape the well-worn path. You know, high school, university, work, marriage, kids, not me. I wanted to be different, to experience the extraordinary, and to enter the unknown, discover lost tribes, the hidden treasures, the darkest heart of the jungle.

The tables are turned as four teenagers are sucked into Jumanji's world - pitted against rhinos, black mambas and an endless variety of jungle traps and puzzles. To survive, they'll play as characters from the game.

More than 55 U.S. soldiers were challenged to survive in the harsh Ghanaian jungle during the ten-day course. The Ghanaian instructors equipped the students with practical knowledge specific to the local terrain and environment.

I took up art in 2011 while living in Hawaii. I returned to my hometown Phoenix in 2017. I enjoy exploring painting with oils and acrylics. At present, I am taking other art classes to help further other possibilities.

We propose a novel method called deep convolutional decision jungle (CDJ) andits learning algorithm for image classification. The CDJ maintains thestructure of standard convolutional neural networks (CNNs), i.e. multiplelayers of multiple response maps fully connected. Each response map-or node-inboth the convolutional and fully-connected layers selectively respond to classlabels s.t. each data sample travels via a specific soft route of thoseactivated nodes. The proposed method CDJ automatically learns features, whereasdecision forests and jungles require pre-defined feature sets. Compared toCNNs, the method embeds the benefits of using data-dependent discriminativefunctions, which better handles multi-modal/heterogeneous data; further,themethod offers more diverse sparse network responses, which in turn can be usedfor cost-effective learning/classification. The network is learnt by combiningconventional softmax and proposed entropy losses in each layer. The entropyloss,as used in decision tree growing, measures the purity of data activationaccording to the class label distribution. The back-propagation rule for theproposed loss function is derived from stochastic gradient descent (SGD)optimization of CNNs. We show that our proposed method outperformsstate-of-the-art methods on three public image classification benchmarks andone face verification dataset. We also demonstrate the use of auxiliary datalabels, when available, which helps our method to learn more discriminativerouting and representations and leads to improved classification. 041b061a72


Welcome to the group! You can connect with other members, ge...


bottom of page